{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/jenifer/Documents/Dropbox/Correlates of Media Freedom 2014 Revision/PSRM_Submission/PSRM R&R/PSRM Round 2 R&R/Replication Files/CorrelatesOfMediaFreedom_Replication.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}30 Aug 2015, 13:13:07
{txt}
{com}. *created on August 29, 2015 by JWW for Correlates of Media Freedom Replication
. version 13.1
{txt}
{com}. set linesize 80
{txt}
{com}. set scheme s2color
{txt}
{com}. use "CorrelatesOfMediaFreedom.dta", clear
{txt}
{com}. *Preparing Variables
. *oil should be logged, but because it has 0 values  I add .1 to it and then log it
. generate oil1=oil+.1
{txt}(4407 missing values generated)

{com}. generate Lnoil1=ln(oil1)
{txt}(4407 missing values generated)

{com}. *log GDPpc
. generate Lrgdpe_pc = ln(rgdpe_pc)
{txt}(2791 missing values generated)

{com}. *clean executive constraints data
. replace xconst=. if xconst==-88
{txt}(172 real changes made, 172 to missing)

{com}. replace xconst=. if xconst==-77
{txt}(127 real changes made, 127 to missing)

{com}. replace xconst=. if xconst== -66
{txt}(108 real changes made, 108 to missing)

{com}. *labeling variables
. label variable ThreeMedia "Media Freedom"
{txt}
{com}. label define ThreeMedia_lab 0 notfree 1 impfree 2 free
{txt}
{com}. label values ThreeMedia ThreeMedia_lab
{txt}
{com}. lab var ThreeMedia_tm1 "Past Media Freedom"
{txt}
{com}. lab var xconst "Executive Constraints"
{txt}
{com}. lab var civtot "Civil Conflict"
{txt}
{com}. lab var inttot "International Conflict"
{txt}
{com}. lab var Lrgdpe_pc "GDP/Capita (logged)"
{txt}
{com}. lab var internet "Internet Penetration"
{txt}
{com}. lab var Lnoil "Oil Reserves (logged)"
{txt}
{com}. 
. save "CorrelatesOfMediaFreedomReady.dta", replace
{txt}file CorrelatesOfMediaFreedomReady.dta saved

{com}. 
. *To recreate the figures and tables in the order that they appear in the paper and appendix. 
. *Figure 1 shows the distribution of different types of media systems across different regime types
. kdensity polity2 if ThreeMedia==0, saving(NotFree5) 
{res}{txt}(file NotFree5.gph saved)

{com}. kdensity polity2 if ThreeMedia==1, saving(ImpFree5)
{res}{txt}(file ImpFree5.gph saved)

{com}. kdensity polity2 if ThreeMedia==2, saving(Free5)
{res}{txt}(file Free5.gph saved)

{com}. gr combine NotFree5.gph ImpFree5.gph Free5.gph
{res}{txt}
{com}. *this is the table included in the lower right corner of Figure 1
. generate democracy=.
{txt}(10443 missing values generated)

{com}. replace democracy= 1 if polity2>5 & polity2 !=.
{txt}(3526 real changes made)

{com}. replace democracy=0 if polity2<6 & polity2 !=.
{txt}(5551 real changes made)

{com}. tab ThreeMedia democracy, row
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

     Media {c |}       democracy
   Freedom {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
   notfree {c |}{res}     4,456        376 {txt}{c |}{res}     4,832 
           {txt}{c |}{res}     92.22       7.78 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
   impfree {c |}{res}       676      1,136 {txt}{c |}{res}     1,812 
           {txt}{c |}{res}     37.31      62.69 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
      free {c |}{res}       143      1,845 {txt}{c |}{res}     1,988 
           {txt}{c |}{res}      7.19      92.81 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}     5,275      3,357 {txt}{c |}{res}     8,632 
           {txt}{c |}{res}     61.11      38.89 {txt}{c |}{res}    100.00 

{txt}
{com}. 
. *Table 2 Data and Sources and in-sample summary statistics
. drop if year<1950
{txt}(378 observations deleted)

{com}. drop if year>2011
{txt}(363 observations deleted)

{com}. sum ThreeMedia if ThreeMedia_tm1 !=. & xconst !=. & polity2 !=.  & rgdpe_pc !=. & inttot !=. & civtot !=. 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 2}ThreeMedia {c |}{res}      6769    .7591963    .8464823          0          2
{txt}
{com}. sum xconst if ThreeMedia_tm1 !=. & xconst !=. & polity2 !=.  & rgdpe_pc !=. & inttot !=. & civtot !=. 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}xconst {c |}{res}      6769    4.306545    2.339623          1          7
{txt}
{com}. sum polity2 if ThreeMedia_tm1 !=. & xconst !=. & polity2 !=.  & rgdpe_pc !=. & inttot !=. & civtot !=. 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 5}polity2 {c |}{res}      6769    1.387797    7.551156        -10         10
{txt}
{com}. sum rgdpe_pc if ThreeMedia_tm1 !=. & xconst !=. & polity2 !=.  & rgdpe_pc !=. & inttot !=. & civtot !=. 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 4}rgdpe_pc {c |}{res}      6769    7996.368    10366.51   225.9366   124720.4
{txt}
{com}. sum civtot if ThreeMedia_tm1 !=. & xconst !=. & polity2 !=.  & rgdpe_pc !=. & inttot !=. & civtot !=. 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}civtot {c |}{res}      6769    .5554735    1.515943          0         10
{txt}
{com}. sum inttot if ThreeMedia_tm1 !=. & xconst !=. & polity2 !=.  & rgdpe_pc !=. & inttot !=. & civtot !=. 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}inttot {c |}{res}      6769    .0933668    .5838387          0          9
{txt}
{com}. sum internet if ThreeMedia_tm1 !=. & xconst !=. & polity2 !=.  & rgdpe_pc !=. & inttot !=. & civtot !=. 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 4}internet {c |}{res}      1545    20.89559      24.368        .02      93.39
{txt}
{com}. sum oil if ThreeMedia_tm1 !=. & xconst !=. & polity2 !=.  & rgdpe_pc !=. & inttot !=. & civtot !=. 

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 9}oil {c |}{res}      4292    6.893562     28.9353          0    297.571
{txt}
{com}. 
. *Table 3 
. **********************creating models with fixed effects**********************
. *for regional fixed effects
. gen region=.
{txt}(9702 missing values generated)

{com}. replace region=1 if ccode>1 & ccode<200
{txt}(1868 real changes made)

{com}. replace region=2 if ccode>165 & ccode<400
{txt}(2144 real changes made)

{com}. replace region=3 if ccode>400 & ccode<600
{txt}(2242 real changes made)

{com}. replace region=4 if ccode>599 & ccode<700
{txt}(1161 real changes made)

{com}. replace region=4 if ccode>699 & ccode<900
{txt}(1530 real changes made)

{com}. replace region=5 if ccode>899 & ccode<1000
{txt}(504 real changes made)

{com}. tab region, gen(rgn_)

     {txt}region {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,868       19.77       19.77
{txt}          2 {c |}{res}      2,144       22.69       42.46
{txt}          3 {c |}{res}      2,242       23.73       66.19
{txt}          4 {c |}{res}      2,691       28.48       94.67
{txt}          5 {c |}{res}        504        5.33      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      9,449      100.00
{txt}
{com}. *for year fixed effects
. tab year, gen(yr_)

       {txt}year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1950 {c |}{res}         81        0.83        0.83
{txt}       1951 {c |}{res}         82        0.85        1.68
{txt}       1952 {c |}{res}         82        0.85        2.53
{txt}       1953 {c |}{res}         83        0.86        3.38
{txt}       1954 {c |}{res}         86        0.89        4.27
{txt}       1955 {c |}{res}         86        0.89        5.15
{txt}       1956 {c |}{res}         89        0.92        6.07
{txt}       1957 {c |}{res}         91        0.94        7.01
{txt}       1958 {c |}{res}         92        0.95        7.96
{txt}       1959 {c |}{res}         94        0.97        8.93
{txt}       1960 {c |}{res}        112        1.15       10.08
{txt}       1961 {c |}{res}        116        1.20       11.28
{txt}       1962 {c |}{res}        121        1.25       12.52
{txt}       1963 {c |}{res}        123        1.27       13.79
{txt}       1964 {c |}{res}        125        1.29       15.08
{txt}       1965 {c |}{res}        127        1.31       16.39
{txt}       1966 {c |}{res}        131        1.35       17.74
{txt}       1967 {c |}{res}        133        1.37       19.11
{txt}       1968 {c |}{res}        137        1.41       20.52
{txt}       1969 {c |}{res}        137        1.41       21.93
{txt}       1970 {c |}{res}        138        1.42       23.36
{txt}       1971 {c |}{res}        142        1.46       24.82
{txt}       1972 {c |}{res}        142        1.46       26.28
{txt}       1973 {c |}{res}        143        1.47       27.76
{txt}       1974 {c |}{res}        145        1.49       29.25
{txt}       1975 {c |}{res}        152        1.57       30.82
{txt}       1976 {c |}{res}        152        1.57       32.39
{txt}       1977 {c |}{res}        153        1.58       33.96
{txt}       1978 {c |}{res}        154        1.59       35.55
{txt}       1979 {c |}{res}        157        1.62       37.17
{txt}       1980 {c |}{res}        159        1.64       38.81
{txt}       1981 {c |}{res}        160        1.65       40.46
{txt}       1982 {c |}{res}        161        1.66       42.12
{txt}       1983 {c |}{res}        162        1.67       43.78
{txt}       1984 {c |}{res}        163        1.68       45.46
{txt}       1985 {c |}{res}        163        1.68       47.14
{txt}       1986 {c |}{res}        166        1.71       48.86
{txt}       1987 {c |}{res}        166        1.71       50.57
{txt}       1988 {c |}{res}        166        1.71       52.28
{txt}       1989 {c |}{res}        166        1.71       53.99
{txt}       1990 {c |}{res}        170        1.75       55.74
{txt}       1991 {c |}{res}        183        1.89       57.63
{txt}       1992 {c |}{res}        185        1.91       59.53
{txt}       1993 {c |}{res}        189        1.95       61.48
{txt}       1994 {c |}{res}        190        1.96       63.44
{txt}       1995 {c |}{res}        190        1.96       65.40
{txt}       1996 {c |}{res}        190        1.96       67.36
{txt}       1997 {c |}{res}        190        1.96       69.32
{txt}       1998 {c |}{res}        190        1.96       71.27
{txt}       1999 {c |}{res}        190        1.96       73.23
{txt}       2000 {c |}{res}        218        2.25       75.48
{txt}       2001 {c |}{res}        218        2.25       77.73
{txt}       2002 {c |}{res}        218        2.25       79.97
{txt}       2003 {c |}{res}        218        2.25       82.22
{txt}       2004 {c |}{res}        218        2.25       84.47
{txt}       2005 {c |}{res}        216        2.23       86.69
{txt}       2006 {c |}{res}        219        2.26       88.95
{txt}       2007 {c |}{res}        217        2.24       91.19
{txt}       2008 {c |}{res}        220        2.27       93.45
{txt}       2009 {c |}{res}        220        2.27       95.72
{txt}       2010 {c |}{res}        220        2.27       97.99
{txt}       2011 {c |}{res}        195        2.01      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      9,702      100.00
{txt}
{com}. *for Model 1 in Table 3
. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc rgn_* yr_*, cluster(ccode) baseoutcome(0)

{txt}note: rgn_5 omitted because of collinearity
note: yr_62 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6989.6981}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2244.4817}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1537.9957}  
Iteration 3:{space 3}log pseudolikelihood = {res: -981.4809}  
Iteration 4:{space 3}log pseudolikelihood = {res:-947.02744}  
Iteration 5:{space 3}log pseudolikelihood = {res:-944.09708}  
Iteration 6:{space 3}log pseudolikelihood = {res:-944.07997}  
Iteration 7:{space 3}log pseudolikelihood = {res:-944.07997}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      6769
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(137)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-944.07997{txt}{col 51}Pseudo R2{col 67}= {res}    0.8649

{txt}{ralign 79:(Std. Err. adjusted for {res:149} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2}  5.86155{col 27}{space 2} .2421665{col 38}{space 1}   24.20{col 47}{space 3}0.000{col 55}{space 4} 5.386912{col 68}{space 3} 6.336187
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .5306614{col 27}{space 2}  .056898{col 38}{space 1}    9.33{col 47}{space 3}0.000{col 55}{space 4} .4191434{col 68}{space 3} .6421795
{txt}{space 7}civtot {c |}{col 15}{res}{space 2} -.105005{col 27}{space 2}  .070666{col 38}{space 1}   -1.49{col 47}{space 3}0.137{col 55}{space 4}-.2435078{col 68}{space 3} .0334977
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.2692641{col 27}{space 2} .1159147{col 38}{space 1}   -2.32{col 47}{space 3}0.020{col 55}{space 4}-.4964528{col 68}{space 3}-.0420755
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}-.1221998{col 27}{space 2} .1158935{col 38}{space 1}   -1.05{col 47}{space 3}0.292{col 55}{space 4}-.3493468{col 68}{space 3} .1049472
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2} .2230838{col 27}{space 2} .2750757{col 38}{space 1}    0.81{col 47}{space 3}0.417{col 55}{space 4}-.3160546{col 68}{space 3} .7622223
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-1.305811{col 27}{space 2} .2783687{col 38}{space 1}   -4.69{col 47}{space 3}0.000{col 55}{space 4}-1.851403{col 68}{space 3}-.7602179
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-.7448981{col 27}{space 2} .2572636{col 38}{space 1}   -2.90{col 47}{space 3}0.004{col 55}{space 4}-1.249126{col 68}{space 3}-.2406707
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-1.621967{col 27}{space 2} .2417948{col 38}{space 1}   -6.71{col 47}{space 3}0.000{col 55}{space 4}-2.095876{col 68}{space 3}-1.148058
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2} 1.130026{col 27}{space 2}  .956198{col 38}{space 1}    1.18{col 47}{space 3}0.237{col 55}{space 4}-.7440872{col 68}{space 3}  3.00414
{txt}{space 9}yr_2 {c |}{col 15}{res}{space 2}-1.048241{col 27}{space 2} .6588538{col 38}{space 1}   -1.59{col 47}{space 3}0.112{col 55}{space 4}-2.339571{col 68}{space 3} .2430883
{txt}{space 9}yr_3 {c |}{col 15}{res}{space 2}-.9451206{col 27}{space 2}  .630433{col 38}{space 1}   -1.50{col 47}{space 3}0.134{col 55}{space 4}-2.180747{col 68}{space 3} .2905053
{txt}{space 9}yr_4 {c |}{col 15}{res}{space 2}-.9464036{col 27}{space 2} .6297391{col 38}{space 1}   -1.50{col 47}{space 3}0.133{col 55}{space 4} -2.18067{col 68}{space 3} .2878623
{txt}{space 9}yr_5 {c |}{col 15}{res}{space 2}-.8160958{col 27}{space 2} .6468449{col 38}{space 1}   -1.26{col 47}{space 3}0.207{col 55}{space 4}-2.083888{col 68}{space 3} .4516969
{txt}{space 9}yr_6 {c |}{col 15}{res}{space 2}-1.986105{col 27}{space 2} .8993396{col 38}{space 1}   -2.21{col 47}{space 3}0.027{col 55}{space 4}-3.748778{col 68}{space 3}-.2234317
{txt}{space 9}yr_7 {c |}{col 15}{res}{space 2}-1.260841{col 27}{space 2} .6320721{col 38}{space 1}   -1.99{col 47}{space 3}0.046{col 55}{space 4}-2.499679{col 68}{space 3}-.0220022
{txt}{space 9}yr_8 {c |}{col 15}{res}{space 2} .3857633{col 27}{space 2} .8701517{col 38}{space 1}    0.44{col 47}{space 3}0.658{col 55}{space 4}-1.319703{col 68}{space 3} 2.091229
{txt}{space 9}yr_9 {c |}{col 15}{res}{space 2} .6851674{col 27}{space 2} .8545938{col 38}{space 1}    0.80{col 47}{space 3}0.423{col 55}{space 4}-.9898056{col 68}{space 3}  2.36014
{txt}{space 8}yr_10 {c |}{col 15}{res}{space 2}-.7768787{col 27}{space 2} .6114948{col 38}{space 1}   -1.27{col 47}{space 3}0.204{col 55}{space 4}-1.975387{col 68}{space 3} .4216291
{txt}{space 8}yr_11 {c |}{col 15}{res}{space 2}-1.509078{col 27}{space 2} .7360159{col 38}{space 1}   -2.05{col 47}{space 3}0.040{col 55}{space 4}-2.951643{col 68}{space 3}-.0665134
{txt}{space 8}yr_12 {c |}{col 15}{res}{space 2}-1.740325{col 27}{space 2} .9827087{col 38}{space 1}   -1.77{col 47}{space 3}0.077{col 55}{space 4}-3.666399{col 68}{space 3} .1857486
{txt}{space 8}yr_13 {c |}{col 15}{res}{space 2}-.9430322{col 27}{space 2} .5874115{col 38}{space 1}   -1.61{col 47}{space 3}0.108{col 55}{space 4}-2.094338{col 68}{space 3} .2082732
{txt}{space 8}yr_14 {c |}{col 15}{res}{space 2}-1.588933{col 27}{space 2} .7590889{col 38}{space 1}   -2.09{col 47}{space 3}0.036{col 55}{space 4} -3.07672{col 68}{space 3}-.1011465
{txt}{space 8}yr_15 {c |}{col 15}{res}{space 2}   -1.038{col 27}{space 2} .5709777{col 38}{space 1}   -1.82{col 47}{space 3}0.069{col 55}{space 4}-2.157096{col 68}{space 3} .0810954
{txt}{space 8}yr_16 {c |}{col 15}{res}{space 2}-1.396616{col 27}{space 2} .8971713{col 38}{space 1}   -1.56{col 47}{space 3}0.120{col 55}{space 4} -3.15504{col 68}{space 3} .3618072
{txt}{space 8}yr_17 {c |}{col 15}{res}{space 2}-.0195041{col 27}{space 2} .7399188{col 38}{space 1}   -0.03{col 47}{space 3}0.979{col 55}{space 4}-1.469718{col 68}{space 3}  1.43071
{txt}{space 8}yr_18 {c |}{col 15}{res}{space 2}-.4209631{col 27}{space 2} .8417539{col 38}{space 1}   -0.50{col 47}{space 3}0.617{col 55}{space 4} -2.07077{col 68}{space 3} 1.228844
{txt}{space 8}yr_19 {c |}{col 15}{res}{space 2}-.4102214{col 27}{space 2} .5863747{col 38}{space 1}   -0.70{col 47}{space 3}0.484{col 55}{space 4}-1.559495{col 68}{space 3} .7390519
{txt}{space 8}yr_20 {c |}{col 15}{res}{space 2}-2.375109{col 27}{space 2} .7955057{col 38}{space 1}   -2.99{col 47}{space 3}0.003{col 55}{space 4}-3.934272{col 68}{space 3}-.8159466
{txt}{space 8}yr_21 {c |}{col 15}{res}{space 2}-.7498443{col 27}{space 2} .9367691{col 38}{space 1}   -0.80{col 47}{space 3}0.423{col 55}{space 4}-2.585878{col 68}{space 3} 1.086189
{txt}{space 8}yr_22 {c |}{col 15}{res}{space 2}-.9395789{col 27}{space 2} .6694039{col 38}{space 1}   -1.40{col 47}{space 3}0.160{col 55}{space 4}-2.251586{col 68}{space 3} .3724287
{txt}{space 8}yr_23 {c |}{col 15}{res}{space 2}-.9735037{col 27}{space 2} .7860364{col 38}{space 1}   -1.24{col 47}{space 3}0.216{col 55}{space 4}-2.514107{col 68}{space 3} .5670994
{txt}{space 8}yr_24 {c |}{col 15}{res}{space 2}-2.390902{col 27}{space 2} .7965332{col 38}{space 1}   -3.00{col 47}{space 3}0.003{col 55}{space 4}-3.952079{col 68}{space 3}-.8297257
{txt}{space 8}yr_25 {c |}{col 15}{res}{space 2}-1.414876{col 27}{space 2} .7932844{col 38}{space 1}   -1.78{col 47}{space 3}0.074{col 55}{space 4}-2.969685{col 68}{space 3} .1399331
{txt}{space 8}yr_26 {c |}{col 15}{res}{space 2}-1.614476{col 27}{space 2} .7658819{col 38}{space 1}   -2.11{col 47}{space 3}0.035{col 55}{space 4}-3.115577{col 68}{space 3}-.1133754
{txt}{space 8}yr_27 {c |}{col 15}{res}{space 2}-.2293514{col 27}{space 2} .6888262{col 38}{space 1}   -0.33{col 47}{space 3}0.739{col 55}{space 4}-1.579426{col 68}{space 3} 1.120723
{txt}{space 8}yr_28 {c |}{col 15}{res}{space 2}-.9890228{col 27}{space 2} .5702433{col 38}{space 1}   -1.73{col 47}{space 3}0.083{col 55}{space 4}-2.106679{col 68}{space 3} .1286336
{txt}{space 8}yr_29 {c |}{col 15}{res}{space 2}-.2122607{col 27}{space 2} .9562641{col 38}{space 1}   -0.22{col 47}{space 3}0.824{col 55}{space 4}-2.086504{col 68}{space 3} 1.661983
{txt}{space 8}yr_30 {c |}{col 15}{res}{space 2}-.5546508{col 27}{space 2} 1.077299{col 38}{space 1}   -0.51{col 47}{space 3}0.607{col 55}{space 4}-2.666117{col 68}{space 3} 1.556816
{txt}{space 8}yr_31 {c |}{col 15}{res}{space 2}-.9146094{col 27}{space 2} .8793907{col 38}{space 1}   -1.04{col 47}{space 3}0.298{col 55}{space 4}-2.638183{col 68}{space 3} .8089647
{txt}{space 8}yr_32 {c |}{col 15}{res}{space 2}-.0517344{col 27}{space 2} .6819109{col 38}{space 1}   -0.08{col 47}{space 3}0.940{col 55}{space 4}-1.388255{col 68}{space 3} 1.284786
{txt}{space 8}yr_33 {c |}{col 15}{res}{space 2}-1.725457{col 27}{space 2} .8456735{col 38}{space 1}   -2.04{col 47}{space 3}0.041{col 55}{space 4}-3.382946{col 68}{space 3} -.067967
{txt}{space 8}yr_34 {c |}{col 15}{res}{space 2}-1.149252{col 27}{space 2} .5685135{col 38}{space 1}   -2.02{col 47}{space 3}0.043{col 55}{space 4}-2.263518{col 68}{space 3}-.0349858
{txt}{space 8}yr_35 {c |}{col 15}{res}{space 2} .1635585{col 27}{space 2}  .701216{col 38}{space 1}    0.23{col 47}{space 3}0.816{col 55}{space 4}  -1.2108{col 68}{space 3} 1.537917
{txt}{space 8}yr_36 {c |}{col 15}{res}{space 2}-.7341894{col 27}{space 2} .6041854{col 38}{space 1}   -1.22{col 47}{space 3}0.224{col 55}{space 4}-1.918371{col 68}{space 3} .4499922
{txt}{space 8}yr_37 {c |}{col 15}{res}{space 2}-.8015745{col 27}{space 2} .5775942{col 38}{space 1}   -1.39{col 47}{space 3}0.165{col 55}{space 4}-1.933638{col 68}{space 3} .3304895
{txt}{space 8}yr_38 {c |}{col 15}{res}{space 2} -1.35634{col 27}{space 2}  .737809{col 38}{space 1}   -1.84{col 47}{space 3}0.066{col 55}{space 4}-2.802419{col 68}{space 3} .0897393
{txt}{space 8}yr_39 {c |}{col 15}{res}{space 2}-.9737392{col 27}{space 2} .5662866{col 38}{space 1}   -1.72{col 47}{space 3}0.086{col 55}{space 4} -2.08364{col 68}{space 3} .1361622
{txt}{space 8}yr_40 {c |}{col 15}{res}{space 2} .1352589{col 27}{space 2} .7541443{col 38}{space 1}    0.18{col 47}{space 3}0.858{col 55}{space 4}-1.342837{col 68}{space 3} 1.613354
{txt}{space 8}yr_41 {c |}{col 15}{res}{space 2} .6612251{col 27}{space 2} .6750496{col 38}{space 1}    0.98{col 47}{space 3}0.327{col 55}{space 4}-.6618477{col 68}{space 3} 1.984298
{txt}{space 8}yr_42 {c |}{col 15}{res}{space 2}  .844193{col 27}{space 2} .7048797{col 38}{space 1}    1.20{col 47}{space 3}0.231{col 55}{space 4}-.5373459{col 68}{space 3} 2.225732
{txt}{space 8}yr_43 {c |}{col 15}{res}{space 2} .1690449{col 27}{space 2} .6122934{col 38}{space 1}    0.28{col 47}{space 3}0.782{col 55}{space 4}-1.031028{col 68}{space 3} 1.369118
{txt}{space 8}yr_44 {c |}{col 15}{res}{space 2} .5384862{col 27}{space 2} .6410383{col 38}{space 1}    0.84{col 47}{space 3}0.401{col 55}{space 4}-.7179259{col 68}{space 3} 1.794898
{txt}{space 8}yr_45 {c |}{col 15}{res}{space 2} .1645849{col 27}{space 2} .6560216{col 38}{space 1}    0.25{col 47}{space 3}0.802{col 55}{space 4}-1.121194{col 68}{space 3} 1.450364
{txt}{space 8}yr_46 {c |}{col 15}{res}{space 2} 1.182799{col 27}{space 2} .7425572{col 38}{space 1}    1.59{col 47}{space 3}0.111{col 55}{space 4}-.2725862{col 68}{space 3} 2.638185
{txt}{space 8}yr_47 {c |}{col 15}{res}{space 2}-.3754997{col 27}{space 2} .8561086{col 38}{space 1}   -0.44{col 47}{space 3}0.661{col 55}{space 4}-2.053442{col 68}{space 3} 1.302442
{txt}{space 8}yr_48 {c |}{col 15}{res}{space 2}-1.119059{col 27}{space 2} .8729962{col 38}{space 1}   -1.28{col 47}{space 3}0.200{col 55}{space 4}  -2.8301{col 68}{space 3} .5919818
{txt}{space 8}yr_49 {c |}{col 15}{res}{space 2}-.2378926{col 27}{space 2} .9196024{col 38}{space 1}   -0.26{col 47}{space 3}0.796{col 55}{space 4} -2.04028{col 68}{space 3} 1.564495
{txt}{space 8}yr_50 {c |}{col 15}{res}{space 2} .0122818{col 27}{space 2} .6650067{col 38}{space 1}    0.02{col 47}{space 3}0.985{col 55}{space 4}-1.291107{col 68}{space 3} 1.315671
{txt}{space 8}yr_51 {c |}{col 15}{res}{space 2} .6844187{col 27}{space 2} .7071284{col 38}{space 1}    0.97{col 47}{space 3}0.333{col 55}{space 4}-.7015275{col 68}{space 3} 2.070365
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} .6186562{col 27}{space 2} .6666489{col 38}{space 1}    0.93{col 47}{space 3}0.353{col 55}{space 4}-.6879516{col 68}{space 3} 1.925264
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} .6205686{col 27}{space 2} .8655226{col 38}{space 1}    0.72{col 47}{space 3}0.473{col 55}{space 4}-1.075824{col 68}{space 3} 2.316962
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-1.082658{col 27}{space 2} .8130278{col 38}{space 1}   -1.33{col 47}{space 3}0.183{col 55}{space 4}-2.676163{col 68}{space 3} .5108477
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} .2748979{col 27}{space 2} .7218802{col 38}{space 1}    0.38{col 47}{space 3}0.703{col 55}{space 4}-1.139961{col 68}{space 3} 1.689757
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2}-.0260486{col 27}{space 2} .6033544{col 38}{space 1}   -0.04{col 47}{space 3}0.966{col 55}{space 4}-1.208601{col 68}{space 3} 1.156504
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2}  .821156{col 27}{space 2} .7375125{col 38}{space 1}    1.11{col 47}{space 3}0.266{col 55}{space 4}-.6243418{col 68}{space 3} 2.266654
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.5265087{col 27}{space 2} .6117845{col 38}{space 1}   -0.86{col 47}{space 3}0.389{col 55}{space 4}-1.725584{col 68}{space 3} .6725669
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}  -.48532{col 27}{space 2} .5365877{col 38}{space 1}   -0.90{col 47}{space 3}0.366{col 55}{space 4}-1.537013{col 68}{space 3} .5663726
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2}  -.50921{col 27}{space 2}  .769367{col 38}{space 1}   -0.66{col 47}{space 3}0.508{col 55}{space 4}-2.017142{col 68}{space 3} .9987215
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2} .0260405{col 27}{space 2} .9696023{col 38}{space 1}    0.03{col 47}{space 3}0.979{col 55}{space 4}-1.874345{col 68}{space 3} 1.926426
{txt}{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-3.049598{col 27}{space 2} 1.125549{col 38}{space 1}   -2.71{col 47}{space 3}0.007{col 55}{space 4}-5.255633{col 68}{space 3}-.8435625
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 13.58486{col 27}{space 2} .5178779{col 38}{space 1}   26.23{col 47}{space 3}0.000{col 55}{space 4} 12.56983{col 68}{space 3} 14.59988
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.046951{col 27}{space 2} .1194613{col 38}{space 1}    8.76{col 47}{space 3}0.000{col 55}{space 4} .8128116{col 68}{space 3} 1.281091
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.3115374{col 27}{space 2} .1361268{col 38}{space 1}   -2.29{col 47}{space 3}0.022{col 55}{space 4}-.5783411{col 68}{space 3}-.0447338
{txt}{space 7}inttot {c |}{col 15}{res}{space 2} .1246917{col 27}{space 2} .1790681{col 38}{space 1}    0.70{col 47}{space 3}0.486{col 55}{space 4}-.2262754{col 68}{space 3} .4756587
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .5296988{col 27}{space 2} .2382563{col 38}{space 1}    2.22{col 47}{space 3}0.026{col 55}{space 4} .0627251{col 68}{space 3} .9966725
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2} .0348451{col 27}{space 2} .5859438{col 38}{space 1}    0.06{col 47}{space 3}0.953{col 55}{space 4}-1.113584{col 68}{space 3} 1.183274
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-1.165857{col 27}{space 2} .5968952{col 38}{space 1}   -1.95{col 47}{space 3}0.051{col 55}{space 4} -2.33575{col 68}{space 3} .0040363
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-.0834995{col 27}{space 2} .7014762{col 38}{space 1}   -0.12{col 47}{space 3}0.905{col 55}{space 4}-1.458367{col 68}{space 3} 1.291369
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-1.732993{col 27}{space 2}  .609896{col 38}{space 1}   -2.84{col 47}{space 3}0.004{col 55}{space 4}-2.928368{col 68}{space 3}-.5376191
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2} 3.547984{col 27}{space 2} 1.300035{col 38}{space 1}    2.73{col 47}{space 3}0.006{col 55}{space 4} .9999624{col 68}{space 3} 6.096005
{txt}{space 9}yr_2 {c |}{col 15}{res}{space 2} 1.455879{col 27}{space 2} 1.086363{col 38}{space 1}    1.34{col 47}{space 3}0.180{col 55}{space 4}-.6733526{col 68}{space 3} 3.585111
{txt}{space 9}yr_3 {c |}{col 15}{res}{space 2} 1.526276{col 27}{space 2} 1.071835{col 38}{space 1}    1.42{col 47}{space 3}0.154{col 55}{space 4}-.5744827{col 68}{space 3} 3.627035
{txt}{space 9}yr_4 {c |}{col 15}{res}{space 2}  1.45807{col 27}{space 2} 1.068524{col 38}{space 1}    1.36{col 47}{space 3}0.172{col 55}{space 4}-.6361985{col 68}{space 3} 3.552338
{txt}{space 9}yr_5 {c |}{col 15}{res}{space 2} 1.557411{col 27}{space 2} 1.080738{col 38}{space 1}    1.44{col 47}{space 3}0.150{col 55}{space 4}-.5607963{col 68}{space 3} 3.675619
{txt}{space 9}yr_6 {c |}{col 15}{res}{space 2} .3383399{col 27}{space 2} 1.199563{col 38}{space 1}    0.28{col 47}{space 3}0.778{col 55}{space 4} -2.01276{col 68}{space 3}  2.68944
{txt}{space 9}yr_7 {c |}{col 15}{res}{space 2} 1.030495{col 27}{space 2} 1.039457{col 38}{space 1}    0.99{col 47}{space 3}0.322{col 55}{space 4}-1.006803{col 68}{space 3} 3.067794
{txt}{space 9}yr_8 {c |}{col 15}{res}{space 2} 4.518601{col 27}{space 2} 2.066326{col 38}{space 1}    2.19{col 47}{space 3}0.029{col 55}{space 4} .4686759{col 68}{space 3} 8.568526
{txt}{space 9}yr_9 {c |}{col 15}{res}{space 2} 3.222982{col 27}{space 2}  1.20845{col 38}{space 1}    2.67{col 47}{space 3}0.008{col 55}{space 4} .8544623{col 68}{space 3} 5.591501
{txt}{space 8}yr_10 {c |}{col 15}{res}{space 2}  1.69265{col 27}{space 2} 1.016999{col 38}{space 1}    1.66{col 47}{space 3}0.096{col 55}{space 4}-.3006306{col 68}{space 3} 3.685931
{txt}{space 8}yr_11 {c |}{col 15}{res}{space 2}-.3278201{col 27}{space 2} 1.301537{col 38}{space 1}   -0.25{col 47}{space 3}0.801{col 55}{space 4}-2.878786{col 68}{space 3} 2.223146
{txt}{space 8}yr_12 {c |}{col 15}{res}{space 2} .4631066{col 27}{space 2} 1.344504{col 38}{space 1}    0.34{col 47}{space 3}0.731{col 55}{space 4}-2.172073{col 68}{space 3} 3.098287
{txt}{space 8}yr_13 {c |}{col 15}{res}{space 2} .0027521{col 27}{space 2}  1.25759{col 38}{space 1}    0.00{col 47}{space 3}0.998{col 55}{space 4} -2.46208{col 68}{space 3} 2.467584
{txt}{space 8}yr_14 {c |}{col 15}{res}{space 2} .5765067{col 27}{space 2} 1.058169{col 38}{space 1}    0.54{col 47}{space 3}0.586{col 55}{space 4}-1.497467{col 68}{space 3} 2.650481
{txt}{space 8}yr_15 {c |}{col 15}{res}{space 2} 1.065751{col 27}{space 2} .9504343{col 38}{space 1}    1.12{col 47}{space 3}0.262{col 55}{space 4}-.7970659{col 68}{space 3} 2.928568
{txt}{space 8}yr_16 {c |}{col 15}{res}{space 2} .6650426{col 27}{space 2} 1.168773{col 38}{space 1}    0.57{col 47}{space 3}0.569{col 55}{space 4}-1.625711{col 68}{space 3} 2.955796
{txt}{space 8}yr_17 {c |}{col 15}{res}{space 2} 2.245215{col 27}{space 2} 1.032712{col 38}{space 1}    2.17{col 47}{space 3}0.030{col 55}{space 4} .2211365{col 68}{space 3} 4.269293
{txt}{space 8}yr_18 {c |}{col 15}{res}{space 2} 1.944411{col 27}{space 2} 1.137694{col 38}{space 1}    1.71{col 47}{space 3}0.087{col 55}{space 4}-.2854277{col 68}{space 3} 4.174249
{txt}{space 8}yr_19 {c |}{col 15}{res}{space 2} .4090268{col 27}{space 2} 1.325261{col 38}{space 1}    0.31{col 47}{space 3}0.758{col 55}{space 4}-2.188436{col 68}{space 3}  3.00649
{txt}{space 8}yr_20 {c |}{col 15}{res}{space 2}-.1736113{col 27}{space 2} 1.075994{col 38}{space 1}   -0.16{col 47}{space 3}0.872{col 55}{space 4}-2.282521{col 68}{space 3} 1.935298
{txt}{space 8}yr_21 {c |}{col 15}{res}{space 2} .4010546{col 27}{space 2} 1.515421{col 38}{space 1}    0.26{col 47}{space 3}0.791{col 55}{space 4}-2.569116{col 68}{space 3} 3.371225
{txt}{space 8}yr_22 {c |}{col 15}{res}{space 2} 1.344439{col 27}{space 2} 1.023043{col 38}{space 1}    1.31{col 47}{space 3}0.189{col 55}{space 4}-.6606895{col 68}{space 3} 3.349567
{txt}{space 8}yr_23 {c |}{col 15}{res}{space 2}-.1028151{col 27}{space 2} 1.305115{col 38}{space 1}   -0.08{col 47}{space 3}0.937{col 55}{space 4}-2.660794{col 68}{space 3} 2.455163
{txt}{space 8}yr_24 {c |}{col 15}{res}{space 2}-1.698865{col 27}{space 2} 1.364541{col 38}{space 1}   -1.25{col 47}{space 3}0.213{col 55}{space 4}-4.373317{col 68}{space 3} .9755867
{txt}{space 8}yr_25 {c |}{col 15}{res}{space 2} .3354471{col 27}{space 2} 1.061362{col 38}{space 1}    0.32{col 47}{space 3}0.752{col 55}{space 4}-1.744785{col 68}{space 3} 2.415679
{txt}{space 8}yr_26 {c |}{col 15}{res}{space 2} .2193935{col 27}{space 2}  1.03415{col 38}{space 1}    0.21{col 47}{space 3}0.832{col 55}{space 4}-1.807503{col 68}{space 3}  2.24629
{txt}{space 8}yr_27 {c |}{col 15}{res}{space 2} 1.544598{col 27}{space 2} .9996619{col 38}{space 1}    1.55{col 47}{space 3}0.122{col 55}{space 4}-.4147035{col 68}{space 3} 3.503899
{txt}{space 8}yr_28 {c |}{col 15}{res}{space 2} 2.110121{col 27}{space 2} 1.331678{col 38}{space 1}    1.58{col 47}{space 3}0.113{col 55}{space 4}-.4999187{col 68}{space 3} 4.720161
{txt}{space 8}yr_29 {c |}{col 15}{res}{space 2} 3.068945{col 27}{space 2} 1.648219{col 38}{space 1}    1.86{col 47}{space 3}0.063{col 55}{space 4}-.1615044{col 68}{space 3} 6.299394
{txt}{space 8}yr_30 {c |}{col 15}{res}{space 2} 2.431089{col 27}{space 2} 1.899917{col 38}{space 1}    1.28{col 47}{space 3}0.201{col 55}{space 4}-1.292681{col 68}{space 3} 6.154859
{txt}{space 8}yr_31 {c |}{col 15}{res}{space 2}  2.04287{col 27}{space 2}  1.47398{col 38}{space 1}    1.39{col 47}{space 3}0.166{col 55}{space 4}-.8460787{col 68}{space 3} 4.931818
{txt}{space 8}yr_32 {c |}{col 15}{res}{space 2} 2.002595{col 27}{space 2} 1.045169{col 38}{space 1}    1.92{col 47}{space 3}0.055{col 55}{space 4}-.0458973{col 68}{space 3} 4.051088
{txt}{space 8}yr_33 {c |}{col 15}{res}{space 2}-1.023022{col 27}{space 2} 1.471687{col 38}{space 1}   -0.70{col 47}{space 3}0.487{col 55}{space 4}-3.907475{col 68}{space 3} 1.861432
{txt}{space 8}yr_34 {c |}{col 15}{res}{space 2} .4563735{col 27}{space 2} .9291938{col 38}{space 1}    0.49{col 47}{space 3}0.623{col 55}{space 4}-1.364813{col 68}{space 3}  2.27756
{txt}{space 8}yr_35 {c |}{col 15}{res}{space 2} 1.762565{col 27}{space 2} 1.010882{col 38}{space 1}    1.74{col 47}{space 3}0.081{col 55}{space 4}-.2187265{col 68}{space 3} 3.743857
{txt}{space 8}yr_36 {c |}{col 15}{res}{space 2} 2.161715{col 27}{space 2} 1.313364{col 38}{space 1}    1.65{col 47}{space 3}0.100{col 55}{space 4}-.4124315{col 68}{space 3} 4.735861
{txt}{space 8}yr_37 {c |}{col 15}{res}{space 2}  .723926{col 27}{space 2} .9312365{col 38}{space 1}    0.78{col 47}{space 3}0.437{col 55}{space 4}-1.101264{col 68}{space 3} 2.549116
{txt}{space 8}yr_38 {c |}{col 15}{res}{space 2} .3101155{col 27}{space 2} 1.035974{col 38}{space 1}    0.30{col 47}{space 3}0.765{col 55}{space 4}-1.720356{col 68}{space 3} 2.340587
{txt}{space 8}yr_39 {c |}{col 15}{res}{space 2} 2.025429{col 27}{space 2} 1.236956{col 38}{space 1}    1.64{col 47}{space 3}0.102{col 55}{space 4} -.398959{col 68}{space 3} 4.449818
{txt}{space 8}yr_40 {c |}{col 15}{res}{space 2} 1.800875{col 27}{space 2} 1.022892{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4}-.2039564{col 68}{space 3} 3.805706
{txt}{space 8}yr_41 {c |}{col 15}{res}{space 2} 2.241405{col 27}{space 2}  .969676{col 38}{space 1}    2.31{col 47}{space 3}0.021{col 55}{space 4} .3408751{col 68}{space 3} 4.141935
{txt}{space 8}yr_42 {c |}{col 15}{res}{space 2} 2.325984{col 27}{space 2} .9721173{col 38}{space 1}    2.39{col 47}{space 3}0.017{col 55}{space 4} .4206688{col 68}{space 3} 4.231299
{txt}{space 8}yr_43 {c |}{col 15}{res}{space 2} 1.569992{col 27}{space 2} .8829568{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4} -.160571{col 68}{space 3} 3.300556
{txt}{space 8}yr_44 {c |}{col 15}{res}{space 2} .9009919{col 27}{space 2} 1.252133{col 38}{space 1}    0.72{col 47}{space 3}0.472{col 55}{space 4}-1.553144{col 68}{space 3} 3.355128
{txt}{space 8}yr_45 {c |}{col 15}{res}{space 2}  .956902{col 27}{space 2} 1.268024{col 38}{space 1}    0.75{col 47}{space 3}0.450{col 55}{space 4}-1.528379{col 68}{space 3} 3.442183
{txt}{space 8}yr_46 {c |}{col 15}{res}{space 2}  2.66831{col 27}{space 2} 2.509681{col 38}{space 1}    1.06{col 47}{space 3}0.288{col 55}{space 4}-2.250575{col 68}{space 3} 7.587194
{txt}{space 8}yr_47 {c |}{col 15}{res}{space 2}-1.379683{col 27}{space 2} 1.290211{col 38}{space 1}   -1.07{col 47}{space 3}0.285{col 55}{space 4} -3.90845{col 68}{space 3} 1.149084
{txt}{space 8}yr_48 {c |}{col 15}{res}{space 2} 1.386582{col 27}{space 2} 1.211506{col 38}{space 1}    1.14{col 47}{space 3}0.252{col 55}{space 4}-.9879253{col 68}{space 3}  3.76109
{txt}{space 8}yr_49 {c |}{col 15}{res}{space 2}-.1569784{col 27}{space 2} 1.345939{col 38}{space 1}   -0.12{col 47}{space 3}0.907{col 55}{space 4}-2.794971{col 68}{space 3} 2.481014
{txt}{space 8}yr_50 {c |}{col 15}{res}{space 2} 1.542174{col 27}{space 2} 1.394862{col 38}{space 1}    1.11{col 47}{space 3}0.269{col 55}{space 4}-1.191705{col 68}{space 3} 4.276053
{txt}{space 8}yr_51 {c |}{col 15}{res}{space 2} 1.388899{col 27}{space 2} 1.581309{col 38}{space 1}    0.88{col 47}{space 3}0.380{col 55}{space 4}-1.710408{col 68}{space 3} 4.488207
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} 2.596733{col 27}{space 2} 1.114636{col 38}{space 1}    2.33{col 47}{space 3}0.020{col 55}{space 4} .4120862{col 68}{space 3} 4.781381
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} 5.207657{col 27}{space 2} 1.242051{col 38}{space 1}    4.19{col 47}{space 3}0.000{col 55}{space 4} 2.773282{col 68}{space 3} 7.642031
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-2.067257{col 27}{space 2} 1.161599{col 38}{space 1}   -1.78{col 47}{space 3}0.075{col 55}{space 4}-4.343949{col 68}{space 3} .2094346
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} 2.190854{col 27}{space 2} 1.217428{col 38}{space 1}    1.80{col 47}{space 3}0.072{col 55}{space 4}-.1952609{col 68}{space 3} 4.576969
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2} .3338109{col 27}{space 2} 1.121607{col 38}{space 1}    0.30{col 47}{space 3}0.766{col 55}{space 4}-1.864499{col 68}{space 3} 2.532121
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} 2.629822{col 27}{space 2} 1.417661{col 38}{space 1}    1.86{col 47}{space 3}0.064{col 55}{space 4}-.1487421{col 68}{space 3} 5.408387
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.2591732{col 27}{space 2} 1.071879{col 38}{space 1}   -0.24{col 47}{space 3}0.809{col 55}{space 4}-2.360018{col 68}{space 3} 1.841672
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}-.9224151{col 27}{space 2} 1.080015{col 38}{space 1}   -0.85{col 47}{space 3}0.393{col 55}{space 4}-3.039206{col 68}{space 3} 1.194376
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2} .3417747{col 27}{space 2} 1.874822{col 38}{space 1}    0.18{col 47}{space 3}0.855{col 55}{space 4}-3.332808{col 68}{space 3} 4.016357
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2} .0685598{col 27}{space 2}  1.33841{col 38}{space 1}    0.05{col 47}{space 3}0.959{col 55}{space 4}-2.554675{col 68}{space 3} 2.691794
{txt}{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-24.89116{col 27}{space 2} 2.903807{col 38}{space 1}   -8.57{col 47}{space 3}0.000{col 55}{space 4}-30.58252{col 68}{space 3} -19.1998
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * for Model 2 in Table 3
. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc internet Lnoil rgn_* yr_*, cluster(ccode) baseoutcome(0)

{txt}note: rgn_5 omitted because of collinearity
note: yr_1 omitted because of collinearity
note: yr_2 omitted because of collinearity
note: yr_3 omitted because of collinearity
note: yr_4 omitted because of collinearity
note: yr_5 omitted because of collinearity
note: yr_6 omitted because of collinearity
note: yr_7 omitted because of collinearity
note: yr_8 omitted because of collinearity
note: yr_9 omitted because of collinearity
note: yr_10 omitted because of collinearity
note: yr_11 omitted because of collinearity
note: yr_12 omitted because of collinearity
note: yr_13 omitted because of collinearity
note: yr_14 omitted because of collinearity
note: yr_15 omitted because of collinearity
note: yr_16 omitted because of collinearity
note: yr_17 omitted because of collinearity
note: yr_18 omitted because of collinearity
note: yr_19 omitted because of collinearity
note: yr_20 omitted because of collinearity
note: yr_21 omitted because of collinearity
note: yr_22 omitted because of collinearity
note: yr_23 omitted because of collinearity
note: yr_24 omitted because of collinearity
note: yr_25 omitted because of collinearity
note: yr_26 omitted because of collinearity
note: yr_27 omitted because of collinearity
note: yr_28 omitted because of collinearity
note: yr_29 omitted because of collinearity
note: yr_30 omitted because of collinearity
note: yr_31 omitted because of collinearity
note: yr_32 omitted because of collinearity
note: yr_33 omitted because of collinearity
note: yr_34 omitted because of collinearity
note: yr_35 omitted because of collinearity
note: yr_36 omitted because of collinearity
note: yr_37 omitted because of collinearity
note: yr_38 omitted because of collinearity
note: yr_39 omitted because of collinearity
note: yr_40 omitted because of collinearity
note: yr_41 omitted because of collinearity
note: yr_42 omitted because of collinearity
note: yr_43 omitted because of collinearity
note: yr_44 omitted because of collinearity
note: yr_45 omitted because of collinearity
note: yr_46 omitted because of collinearity
note: yr_47 omitted because of collinearity
note: yr_48 omitted because of collinearity
note: yr_49 omitted because of collinearity
note: yr_50 omitted because of collinearity
note: yr_61 omitted because of collinearity
note: yr_62 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1693.0206}  
Iteration 1:{space 3}log pseudolikelihood = {res: -519.6002}  
Iteration 2:{space 3}log pseudolikelihood = {res:-335.55665}  
Iteration 3:{space 3}log pseudolikelihood = {res:-278.43936}  
Iteration 4:{space 3}log pseudolikelihood = {res:-274.67916}  
Iteration 5:{space 3}log pseudolikelihood = {res: -274.5364}  
Iteration 6:{space 3}log pseudolikelihood = {res:-274.53615}  
Iteration 7:{space 3}log pseudolikelihood = {res:-274.53615}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      1545
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(41)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-274.53615{txt}{col 51}Pseudo R2{col 67}= {res}    0.8378

{txt}{ralign 79:(Std. Err. adjusted for {res:147} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 5.484707{col 27}{space 2}  .351527{col 38}{space 1}   15.60{col 47}{space 3}0.000{col 55}{space 4} 4.795727{col 68}{space 3} 6.173688
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .7483041{col 27}{space 2} .0991173{col 38}{space 1}    7.55{col 47}{space 3}0.000{col 55}{space 4} .5540377{col 68}{space 3} .9425705
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.1884193{col 27}{space 2} .0822845{col 38}{space 1}   -2.29{col 47}{space 3}0.022{col 55}{space 4} -.349694{col 68}{space 3}-.0271447
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.0678535{col 27}{space 2} .2633986{col 38}{space 1}   -0.26{col 47}{space 3}0.797{col 55}{space 4}-.5841052{col 68}{space 3} .4483983
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}  .177231{col 27}{space 2} .1805056{col 38}{space 1}    0.98{col 47}{space 3}0.326{col 55}{space 4}-.1765535{col 68}{space 3} .5310155
{txt}{space 5}internet {c |}{col 15}{res}{space 2}-.0151629{col 27}{space 2} .0163169{col 38}{space 1}   -0.93{col 47}{space 3}0.353{col 55}{space 4}-.0471435{col 68}{space 3} .0168177
{txt}{space 7}Lnoil1 {c |}{col 15}{res}{space 2}-.0867646{col 27}{space 2} .0989164{col 38}{space 1}   -0.88{col 47}{space 3}0.380{col 55}{space 4}-.2806373{col 68}{space 3} .1071081
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2}-.8182458{col 27}{space 2} .5288566{col 38}{space 1}   -1.55{col 47}{space 3}0.122{col 55}{space 4}-1.854786{col 68}{space 3} .2182941
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-.9001331{col 27}{space 2}  .637944{col 38}{space 1}   -1.41{col 47}{space 3}0.158{col 55}{space 4} -2.15048{col 68}{space 3} .3502142
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2} .0053029{col 27}{space 2} .4252188{col 38}{space 1}    0.01{col 47}{space 3}0.990{col 55}{space 4}-.8281107{col 68}{space 3} .8387165
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-.9833624{col 27}{space 2} .3761695{col 38}{space 1}   -2.61{col 47}{space 3}0.009{col 55}{space 4}-1.720641{col 68}{space 3}-.2460837
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_2 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_3 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_4 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_6 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_7 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_8 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_9 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_10 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_11 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_12 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_13 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_14 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_15 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_16 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_17 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_18 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_19 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_20 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_21 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_22 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_23 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_24 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_25 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_26 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_27 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_28 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_29 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_30 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_31 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_32 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_33 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_34 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_35 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_36 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_37 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_38 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_39 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_40 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_41 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_42 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_43 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_44 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_45 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_46 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_47 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_48 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_49 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_50 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_51 {c |}{col 15}{res}{space 2}-.1491068{col 27}{space 2} .7505366{col 38}{space 1}   -0.20{col 47}{space 3}0.843{col 55}{space 4}-1.620131{col 68}{space 3} 1.321918
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} .4045833{col 27}{space 2} .7091035{col 38}{space 1}    0.57{col 47}{space 3}0.568{col 55}{space 4} -.985234{col 68}{space 3} 1.794401
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} .4028502{col 27}{space 2} .9033829{col 38}{space 1}    0.45{col 47}{space 3}0.656{col 55}{space 4}-1.367748{col 68}{space 3} 2.173448
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-.9939466{col 27}{space 2} .9434083{col 38}{space 1}   -1.05{col 47}{space 3}0.292{col 55}{space 4}-2.842993{col 68}{space 3} .8550996
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} .2781135{col 27}{space 2} .8054245{col 38}{space 1}    0.35{col 47}{space 3}0.730{col 55}{space 4} -1.30049{col 68}{space 3} 1.856716
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2}-.1056444{col 27}{space 2}  .694976{col 38}{space 1}   -0.15{col 47}{space 3}0.879{col 55}{space 4}-1.467772{col 68}{space 3} 1.256483
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} .8292502{col 27}{space 2} .8353743{col 38}{space 1}    0.99{col 47}{space 3}0.321{col 55}{space 4}-.8080534{col 68}{space 3} 2.466554
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.5126482{col 27}{space 2} .9614736{col 38}{space 1}   -0.53{col 47}{space 3}0.594{col 55}{space 4}-2.397102{col 68}{space 3} 1.371805
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}-.4695235{col 27}{space 2} .7242599{col 38}{space 1}   -0.65{col 47}{space 3}0.517{col 55}{space 4}-1.889047{col 68}{space 3} .9499998
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2}-.4486109{col 27}{space 2} .8313739{col 38}{space 1}   -0.54{col 47}{space 3}0.589{col 55}{space 4}-2.078074{col 68}{space 3} 1.180852
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-6.503467{col 27}{space 2} 1.640144{col 38}{space 1}   -3.97{col 47}{space 3}0.000{col 55}{space 4}-9.718091{col 68}{space 3}-3.288843
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 12.00523{col 27}{space 2} .6226965{col 38}{space 1}   19.28{col 47}{space 3}0.000{col 55}{space 4} 10.78476{col 68}{space 3} 13.22569
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.204516{col 27}{space 2} .3227888{col 38}{space 1}    3.73{col 47}{space 3}0.000{col 55}{space 4} .5718611{col 68}{space 3}  1.83717
{txt}{space 7}civtot {c |}{col 15}{res}{space 2} .2613111{col 27}{space 2} .1950619{col 38}{space 1}    1.34{col 47}{space 3}0.180{col 55}{space 4}-.1210031{col 68}{space 3} .6436254
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.0829582{col 27}{space 2} .4308441{col 38}{space 1}   -0.19{col 47}{space 3}0.847{col 55}{space 4}-.9273971{col 68}{space 3} .7614807
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .9362524{col 27}{space 2} .4375113{col 38}{space 1}    2.14{col 47}{space 3}0.032{col 55}{space 4}  .078746{col 68}{space 3} 1.793759
{txt}{space 5}internet {c |}{col 15}{res}{space 2} .0640305{col 27}{space 2} .0242215{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .0165572{col 68}{space 3} .1115038
{txt}{space 7}Lnoil1 {c |}{col 15}{res}{space 2}-.6787605{col 27}{space 2} .1584334{col 38}{space 1}   -4.28{col 47}{space 3}0.000{col 55}{space 4}-.9892843{col 68}{space 3}-.3682368
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2}-1.444721{col 27}{space 2} .8172809{col 38}{space 1}   -1.77{col 47}{space 3}0.077{col 55}{space 4}-3.046562{col 68}{space 3}   .15712
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-2.758283{col 27}{space 2} .8157439{col 38}{space 1}   -3.38{col 47}{space 3}0.001{col 55}{space 4}-4.357111{col 68}{space 3}-1.159454
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2} 1.302581{col 27}{space 2} .6833582{col 38}{space 1}    1.91{col 47}{space 3}0.057{col 55}{space 4}-.0367763{col 68}{space 3} 2.641939
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-4.302649{col 27}{space 2}  1.01251{col 38}{space 1}   -4.25{col 47}{space 3}0.000{col 55}{space 4}-6.287132{col 68}{space 3}-2.318165
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_2 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_3 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_4 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_6 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_7 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_8 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_9 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_10 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_11 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_12 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_13 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_14 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_15 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_16 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_17 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_18 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_19 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_20 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_21 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_22 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_23 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_24 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_25 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_26 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_27 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_28 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_29 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_30 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_31 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_32 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_33 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_34 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_35 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_36 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_37 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_38 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_39 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_40 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_41 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_42 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_43 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_44 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_45 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_46 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_47 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_48 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_49 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_50 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_51 {c |}{col 15}{res}{space 2} 2.607883{col 27}{space 2} 1.228627{col 38}{space 1}    2.12{col 47}{space 3}0.034{col 55}{space 4} .1998189{col 68}{space 3} 5.015947
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} 3.761397{col 27}{space 2} 1.075109{col 38}{space 1}    3.50{col 47}{space 3}0.000{col 55}{space 4} 1.654222{col 68}{space 3} 5.868572
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} 6.368115{col 27}{space 2} 1.244619{col 38}{space 1}    5.12{col 47}{space 3}0.000{col 55}{space 4} 3.928706{col 68}{space 3} 8.807524
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-.1415321{col 27}{space 2} 1.273574{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-2.637691{col 68}{space 3} 2.354627
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2}  3.39206{col 27}{space 2} 1.210246{col 38}{space 1}    2.80{col 47}{space 3}0.005{col 55}{space 4} 1.020021{col 68}{space 3} 5.764099
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2} 1.550503{col 27}{space 2} 1.111086{col 38}{space 1}    1.40{col 47}{space 3}0.163{col 55}{space 4}-.6271851{col 68}{space 3}  3.72819
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} 3.452725{col 27}{space 2} 1.359007{col 38}{space 1}    2.54{col 47}{space 3}0.011{col 55}{space 4} .7891189{col 68}{space 3}  6.11633
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2} .6054006{col 27}{space 2} 1.235181{col 38}{space 1}    0.49{col 47}{space 3}0.624{col 55}{space 4}-1.815509{col 68}{space 3}  3.02631
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}-.4071948{col 27}{space 2} 1.188891{col 38}{space 1}   -0.34{col 47}{space 3}0.732{col 55}{space 4}-2.737378{col 68}{space 3} 1.922988
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2} .3644702{col 27}{space 2} 1.457001{col 38}{space 1}    0.25{col 47}{space 3}0.802{col 55}{space 4}  -2.4912{col 68}{space 3}  3.22014
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-30.12105{col 27}{space 2} 3.971074{col 38}{space 1}   -7.59{col 47}{space 3}0.000{col 55}{space 4}-37.90421{col 68}{space 3}-22.33789
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *********************For the Appendix**********************************************
. *Figure A1 
. twoway kdensity polity2 if ThreeMedia==0 || kdensity polity2 if ThreeMedia==1 || kdensity polity2 if ThreeMedia==2
{res}{txt}
{com}. *Table A2 (in sample Executive Constraints by Democracy/NonDemocracy)
. tab democracy xconst if  ThreeMedia_tm1 !=.   & rgdpe_pc !=. & inttot !=. & civtot !=. 

           {txt}{c |}                 Executive Constraints
 democracy {c |}         1          2          3          4          5 {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}     1,227        653      1,302        175        305 {txt}{c |}{res}     3,751 
{txt}         1 {c |}{res}         0          0          0          0        384 {txt}{c |}{res}     3,018 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}     1,227        653      1,302        175        689 {txt}{c |}{res}     6,769 


           {txt}{c |} Executive Constraints
 democracy {c |}         6          7 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}        21         68 {txt}{c |}{res}     3,751 
{txt}         1 {c |}{res}       473      2,161 {txt}{c |}{res}     3,018 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       494      2,229 {txt}{c |}{res}     6,769 

{txt}
{com}. *Table A3
. pwcorr ThreeMedia xconst Lrgdpe_pc civtot inttot LitPercent internet Lnoil1 if ThreeMedia_tm1 !=. , sig 

             {txt}{c |} ThreeM~a   xconst Lrgdpe~c   civtot   inttot LitPer~t internet
{hline 13}{c +}{hline 63}
  ThreeMedia {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
      xconst {c |} {res}  0.7505   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}
   Lrgdpe_pc {c |} {res}  0.5515   0.5191   1.0000 
             {txt}{c |}{res}   0.0000   0.0000
             {txt}{c |}
      civtot {c |} {res} -0.1794  -0.1002  -0.2293   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000
             {txt}{c |}
      inttot {c |} {res} -0.0503  -0.0321  -0.0418   0.1237   1.0000 
             {txt}{c |}{res}   0.0000   0.0041   0.0005   0.0000
             {txt}{c |}
  LitPercent {c |} {res}  0.4805   0.5252   0.7317  -0.1569  -0.0208   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000   0.0000   0.0686
             {txt}{c |}
    internet {c |} {res}  0.5263   0.4536   0.7539  -0.1883  -0.0239   0.4841   1.0000 
             {txt}{c |}{res}   0.0000   0.0000   0.0000   0.0000   0.3194   0.0000
             {txt}{c |}
      Lnoil1 {c |} {res} -0.1509  -0.1303   0.2009   0.1071   0.1113   0.0633   0.0324 
             {txt}{c |}{res}   0.0000   0.0000   0.0000   0.0000   0.0000   0.0000   0.1472
             {txt}{c |}

             {c |}   Lnoil1
{hline 13}{c +}{hline 9}
      Lnoil1 {c |} {res}  1.0000 
             {txt}{c |}
             {c |}

{com}. *Table A4 
. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc, cluster(ccode) baseoutcome(0)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6989.6981}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2575.7565}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1558.431}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1096.1859}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1080.9241}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1080.1624}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1080.1599}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1080.1599}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      6769
{txt}{col 51}Wald chi2({res}10{txt}){col 67}= {res}   1548.37
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1080.1599{txt}{col 51}Pseudo R2{col 67}= {res}    0.8455

{txt}{ralign 79:(Std. Err. adjusted for {res:149} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2}  5.73438{col 27}{space 2} .2046028{col 38}{space 1}   28.03{col 47}{space 3}0.000{col 55}{space 4} 5.333366{col 68}{space 3} 6.135394
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .5152209{col 27}{space 2} .0504284{col 38}{space 1}   10.22{col 47}{space 3}0.000{col 55}{space 4}  .416383{col 68}{space 3} .6140588
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.0992981{col 27}{space 2} .0644165{col 38}{space 1}   -1.54{col 47}{space 3}0.123{col 55}{space 4}-.2255521{col 68}{space 3} .0269558
{txt}{space 7}inttot {c |}{col 15}{res}{space 2} -.400968{col 27}{space 2} .1133599{col 38}{space 1}   -3.54{col 47}{space 3}0.000{col 55}{space 4}-.6231494{col 68}{space 3}-.1787867
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}-.1230224{col 27}{space 2} .0875257{col 38}{space 1}   -1.41{col 47}{space 3}0.160{col 55}{space 4}-.2945695{col 68}{space 3} .0485248
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-4.112684{col 27}{space 2} .6477793{col 38}{space 1}   -6.35{col 47}{space 3}0.000{col 55}{space 4}-5.382308{col 68}{space 3} -2.84306
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 12.51602{col 27}{space 2} .3730149{col 38}{space 1}   33.55{col 47}{space 3}0.000{col 55}{space 4} 11.78492{col 68}{space 3} 13.24712
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.011818{col 27}{space 2} .0989233{col 38}{space 1}   10.23{col 47}{space 3}0.000{col 55}{space 4} .8179321{col 68}{space 3} 1.205704
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.4031547{col 27}{space 2} .1163294{col 38}{space 1}   -3.47{col 47}{space 3}0.001{col 55}{space 4}-.6311561{col 68}{space 3}-.1751533
{txt}{space 7}inttot {c |}{col 15}{res}{space 2} .0181089{col 27}{space 2} .1788032{col 38}{space 1}    0.10{col 47}{space 3}0.919{col 55}{space 4} -.332339{col 68}{space 3} .3685568
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .3133901{col 27}{space 2} .1513699{col 38}{space 1}    2.07{col 47}{space 3}0.038{col 55}{space 4} .0167106{col 68}{space 3} .6100696
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-20.81656{col 27}{space 2} 1.409954{col 38}{space 1}  -14.76{col 47}{space 3}0.000{col 55}{space 4}-23.58002{col 68}{space 3} -18.0531
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc rgn_*, cluster(ccode) baseoutcome(0)

{txt}note: rgn_5 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6989.6981}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2410.0673}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1808.207}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1080.5689}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1056.5185}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1055.1066}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1055.1046}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1055.1046}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      6769
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(17)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-1055.1046{txt}{col 51}Pseudo R2{col 67}= {res}    0.8490

{txt}{ralign 79:(Std. Err. adjusted for {res:149} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 5.473991{col 27}{space 2} .2020629{col 38}{space 1}   27.09{col 47}{space 3}0.000{col 55}{space 4} 5.077955{col 68}{space 3} 5.870027
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .5485271{col 27}{space 2} .0568664{col 38}{space 1}    9.65{col 47}{space 3}0.000{col 55}{space 4}  .437071{col 68}{space 3} .6599831
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.0685749{col 27}{space 2}  .060427{col 38}{space 1}   -1.13{col 47}{space 3}0.256{col 55}{space 4}-.1870096{col 68}{space 3} .0498598
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.3842001{col 27}{space 2}  .140959{col 38}{space 1}   -2.73{col 47}{space 3}0.006{col 55}{space 4}-.6604748{col 68}{space 3}-.1079255
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}-.0749712{col 27}{space 2} .1245798{col 38}{space 1}   -0.60{col 47}{space 3}0.547{col 55}{space 4}-.3191432{col 68}{space 3} .1692008
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2} -.108225{col 27}{space 2} .1580941{col 38}{space 1}   -0.68{col 47}{space 3}0.494{col 55}{space 4}-.4180837{col 68}{space 3} .2016337
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2} -1.25233{col 27}{space 2} .2496708{col 38}{space 1}   -5.02{col 47}{space 3}0.000{col 55}{space 4}-1.741676{col 68}{space 3}-.7629847
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-.8230279{col 27}{space 2} .2443712{col 38}{space 1}   -3.37{col 47}{space 3}0.001{col 55}{space 4}-1.301987{col 68}{space 3}-.3440692
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2} -1.68881{col 27}{space 2} .1968742{col 38}{space 1}   -8.58{col 47}{space 3}0.000{col 55}{space 4}-2.074676{col 68}{space 3}-1.302943
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-3.582172{col 27}{space 2} 1.062485{col 38}{space 1}   -3.37{col 47}{space 3}0.001{col 55}{space 4}-5.664604{col 68}{space 3}-1.499741
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 12.23951{col 27}{space 2} .3681737{col 38}{space 1}   33.24{col 47}{space 3}0.000{col 55}{space 4} 11.51791{col 68}{space 3} 12.96112
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.018786{col 27}{space 2} .1024068{col 38}{space 1}    9.95{col 47}{space 3}0.000{col 55}{space 4} .8180723{col 68}{space 3} 1.219499
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.3411407{col 27}{space 2} .1114829{col 38}{space 1}   -3.06{col 47}{space 3}0.002{col 55}{space 4}-.5596431{col 68}{space 3}-.1226382
{txt}{space 7}inttot {c |}{col 15}{res}{space 2} .0599307{col 27}{space 2}  .176618{col 38}{space 1}    0.34{col 47}{space 3}0.734{col 55}{space 4}-.2862343{col 68}{space 3} .4060956
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .3397217{col 27}{space 2} .1959045{col 38}{space 1}    1.73{col 47}{space 3}0.083{col 55}{space 4}-.0442441{col 68}{space 3} .7236875
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2}-.3873922{col 27}{space 2} .6117339{col 38}{space 1}   -0.63{col 47}{space 3}0.527{col 55}{space 4}-1.586369{col 68}{space 3} .8115842
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-1.107335{col 27}{space 2} .6181646{col 38}{space 1}   -1.79{col 47}{space 3}0.073{col 55}{space 4}-2.318915{col 68}{space 3} .1042456
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-.7661357{col 27}{space 2} .7111339{col 38}{space 1}   -1.08{col 47}{space 3}0.281{col 55}{space 4}-2.159932{col 68}{space 3} .6276611
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-1.922573{col 27}{space 2} .6434317{col 38}{space 1}   -2.99{col 47}{space 3}0.003{col 55}{space 4}-3.183676{col 68}{space 3}-.6614701
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-19.85779{col 27}{space 2} 2.025619{col 38}{space 1}   -9.80{col 47}{space 3}0.000{col 55}{space 4}-23.82793{col 68}{space 3}-15.88765
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc  yr_*, cluster(ccode) baseoutcome(0)

{txt}note: yr_62 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6989.6981}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2469.4315}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1652.3122}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1019.8697}  
Iteration 4:{space 3}log pseudolikelihood = {res:-980.26337}  
Iteration 5:{space 3}log pseudolikelihood = {res:-977.07408}  
Iteration 6:{space 3}log pseudolikelihood = {res:-977.05664}  
Iteration 7:{space 3}log pseudolikelihood = {res:-977.05664}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      6769
{txt}{col 51}Wald chi2({res}132{txt}){col 67}= {res}5808898.86
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-977.05664{txt}{col 51}Pseudo R2{col 67}= {res}    0.8602

{txt}{ralign 79:(Std. Err. adjusted for {res:149} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2}  6.17715{col 27}{space 2}   .24372{col 38}{space 1}   25.35{col 47}{space 3}0.000{col 55}{space 4} 5.699467{col 68}{space 3} 6.654832
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .4942618{col 27}{space 2} .0520068{col 38}{space 1}    9.50{col 47}{space 3}0.000{col 55}{space 4} .3923304{col 68}{space 3} .5961931
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.1262737{col 27}{space 2} .0701586{col 38}{space 1}   -1.80{col 47}{space 3}0.072{col 55}{space 4} -.263782{col 68}{space 3} .0112345
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.3206315{col 27}{space 2} .1167513{col 38}{space 1}   -2.75{col 47}{space 3}0.006{col 55}{space 4}-.5494599{col 68}{space 3}-.0918031
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}-.1627517{col 27}{space 2} .0906583{col 38}{space 1}   -1.80{col 47}{space 3}0.073{col 55}{space 4}-.3404387{col 68}{space 3} .0149353
{txt}{space 9}yr_1 {c |}{col 15}{res}{space 2} 1.452509{col 27}{space 2} 1.083014{col 38}{space 1}    1.34{col 47}{space 3}0.180{col 55}{space 4}-.6701601{col 68}{space 3} 3.575177
{txt}{space 9}yr_2 {c |}{col 15}{res}{space 2}-.7518663{col 27}{space 2} .6906354{col 38}{space 1}   -1.09{col 47}{space 3}0.276{col 55}{space 4}-2.105487{col 68}{space 3} .6017542
{txt}{space 9}yr_3 {c |}{col 15}{res}{space 2}-.6282718{col 27}{space 2} .6412908{col 38}{space 1}   -0.98{col 47}{space 3}0.327{col 55}{space 4}-1.885179{col 68}{space 3} .6286351
{txt}{space 9}yr_4 {c |}{col 15}{res}{space 2} -.633044{col 27}{space 2} .6412878{col 38}{space 1}   -0.99{col 47}{space 3}0.324{col 55}{space 4}-1.889945{col 68}{space 3}  .623857
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{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} .7874533{col 27}{space 2} .7725098{col 38}{space 1}    1.02{col 47}{space 3}0.308{col 55}{space 4} -.726638{col 68}{space 3} 2.301545
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{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2} -.006418{col 27}{space 2} 1.113859{col 38}{space 1}   -0.01{col 47}{space 3}0.995{col 55}{space 4}-2.189542{col 68}{space 3} 2.176706
{txt}{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-3.595218{col 27}{space 2} .8825873{col 38}{space 1}   -4.07{col 47}{space 3}0.000{col 55}{space 4}-5.325057{col 68}{space 3}-1.865379
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
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{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.4005527{col 27}{space 2} .1297898{col 38}{space 1}   -3.09{col 47}{space 3}0.002{col 55}{space 4}-.6549361{col 68}{space 3}-.1461694
{txt}{space 7}inttot {c |}{col 15}{res}{space 2} .0566371{col 27}{space 2} .1941719{col 38}{space 1}    0.29{col 47}{space 3}0.771{col 55}{space 4}-.3239329{col 68}{space 3} .4372071
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .3416138{col 27}{space 2} .1961407{col 38}{space 1}    1.74{col 47}{space 3}0.082{col 55}{space 4}-.0428149{col 68}{space 3} .7260425
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{txt}{space 9}yr_3 {c |}{col 15}{res}{space 2} 1.653243{col 27}{space 2} 1.025839{col 38}{space 1}    1.61{col 47}{space 3}0.107{col 55}{space 4}-.3573644{col 68}{space 3}  3.66385
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{txt}{space 8}yr_13 {c |}{col 15}{res}{space 2}-.1243184{col 27}{space 2} 1.257175{col 38}{space 1}   -0.10{col 47}{space 3}0.921{col 55}{space 4}-2.588337{col 68}{space 3}   2.3397
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{txt}{space 8}yr_16 {c |}{col 15}{res}{space 2} .6841508{col 27}{space 2} 1.178643{col 38}{space 1}    0.58{col 47}{space 3}0.562{col 55}{space 4}-1.625947{col 68}{space 3} 2.994248
{txt}{space 8}yr_17 {c |}{col 15}{res}{space 2} 2.127681{col 27}{space 2} .9956354{col 38}{space 1}    2.14{col 47}{space 3}0.033{col 55}{space 4} .1762713{col 68}{space 3}  4.07909
{txt}{space 8}yr_18 {c |}{col 15}{res}{space 2} 1.886013{col 27}{space 2}  1.11369{col 38}{space 1}    1.69{col 47}{space 3}0.090{col 55}{space 4} -.296779{col 68}{space 3} 4.068804
{txt}{space 8}yr_19 {c |}{col 15}{res}{space 2} .4838085{col 27}{space 2} 1.331977{col 38}{space 1}    0.36{col 47}{space 3}0.716{col 55}{space 4}-2.126819{col 68}{space 3} 3.094436
{txt}{space 8}yr_20 {c |}{col 15}{res}{space 2} .1229142{col 27}{space 2} 1.042165{col 38}{space 1}    0.12{col 47}{space 3}0.906{col 55}{space 4}-1.919692{col 68}{space 3}  2.16552
{txt}{space 8}yr_21 {c |}{col 15}{res}{space 2} .3291384{col 27}{space 2} 1.475859{col 38}{space 1}    0.22{col 47}{space 3}0.824{col 55}{space 4}-2.563491{col 68}{space 3} 3.221768
{txt}{space 8}yr_22 {c |}{col 15}{res}{space 2}  1.15073{col 27}{space 2} 1.037294{col 38}{space 1}    1.11{col 47}{space 3}0.267{col 55}{space 4}-.8823286{col 68}{space 3} 3.183788
{txt}{space 8}yr_23 {c |}{col 15}{res}{space 2}-.2034725{col 27}{space 2} 1.334464{col 38}{space 1}   -0.15{col 47}{space 3}0.879{col 55}{space 4}-2.818973{col 68}{space 3} 2.412028
{txt}{space 8}yr_24 {c |}{col 15}{res}{space 2}-1.416237{col 27}{space 2} 1.334494{col 38}{space 1}   -1.06{col 47}{space 3}0.289{col 55}{space 4}-4.031798{col 68}{space 3} 1.199324
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{txt}{space 8}yr_26 {c |}{col 15}{res}{space 2} .4401074{col 27}{space 2} 1.054884{col 38}{space 1}    0.42{col 47}{space 3}0.677{col 55}{space 4}-1.627427{col 68}{space 3} 2.507642
{txt}{space 8}yr_27 {c |}{col 15}{res}{space 2} 1.597254{col 27}{space 2} 1.015381{col 38}{space 1}    1.57{col 47}{space 3}0.116{col 55}{space 4}-.3928556{col 68}{space 3} 3.587364
{txt}{space 8}yr_28 {c |}{col 15}{res}{space 2} 2.299871{col 27}{space 2} 1.308995{col 38}{space 1}    1.76{col 47}{space 3}0.079{col 55}{space 4}-.2657127{col 68}{space 3} 4.865455
{txt}{space 8}yr_29 {c |}{col 15}{res}{space 2}  3.16656{col 27}{space 2}  1.56074{col 38}{space 1}    2.03{col 47}{space 3}0.042{col 55}{space 4} .1075662{col 68}{space 3} 6.225553
{txt}{space 8}yr_30 {c |}{col 15}{res}{space 2} 2.565165{col 27}{space 2} 1.795143{col 38}{space 1}    1.43{col 47}{space 3}0.153{col 55}{space 4}-.9532508{col 68}{space 3} 6.083582
{txt}{space 8}yr_31 {c |}{col 15}{res}{space 2} 2.218205{col 27}{space 2} 1.444725{col 38}{space 1}    1.54{col 47}{space 3}0.125{col 55}{space 4}-.6134038{col 68}{space 3} 5.049813
{txt}{space 8}yr_32 {c |}{col 15}{res}{space 2} 2.254633{col 27}{space 2} 1.097798{col 38}{space 1}    2.05{col 47}{space 3}0.040{col 55}{space 4} .1029876{col 68}{space 3} 4.406278
{txt}{space 8}yr_33 {c |}{col 15}{res}{space 2}-.8078462{col 27}{space 2} 1.489853{col 38}{space 1}   -0.54{col 47}{space 3}0.588{col 55}{space 4}-3.727904{col 68}{space 3} 2.112212
{txt}{space 8}yr_34 {c |}{col 15}{res}{space 2} .6348922{col 27}{space 2} .9480922{col 38}{space 1}    0.67{col 47}{space 3}0.503{col 55}{space 4}-1.223334{col 68}{space 3} 2.493119
{txt}{space 8}yr_35 {c |}{col 15}{res}{space 2} 1.961675{col 27}{space 2} 1.044663{col 38}{space 1}    1.88{col 47}{space 3}0.060{col 55}{space 4} -.085828{col 68}{space 3} 4.009177
{txt}{space 8}yr_36 {c |}{col 15}{res}{space 2}  2.00269{col 27}{space 2} 1.265825{col 38}{space 1}    1.58{col 47}{space 3}0.114{col 55}{space 4}-.4782805{col 68}{space 3} 4.483661
{txt}{space 8}yr_37 {c |}{col 15}{res}{space 2}  .727763{col 27}{space 2}  .946782{col 38}{space 1}    0.77{col 47}{space 3}0.442{col 55}{space 4}-1.127896{col 68}{space 3} 2.583422
{txt}{space 8}yr_38 {c |}{col 15}{res}{space 2} .3511859{col 27}{space 2} 1.025816{col 38}{space 1}    0.34{col 47}{space 3}0.732{col 55}{space 4}-1.659377{col 68}{space 3} 2.361749
{txt}{space 8}yr_39 {c |}{col 15}{res}{space 2} 1.943191{col 27}{space 2} 1.203929{col 38}{space 1}    1.61{col 47}{space 3}0.107{col 55}{space 4} -.416467{col 68}{space 3}  4.30285
{txt}{space 8}yr_40 {c |}{col 15}{res}{space 2} 1.908536{col 27}{space 2} 1.071285{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4}-.1911442{col 68}{space 3} 4.008216
{txt}{space 8}yr_41 {c |}{col 15}{res}{space 2} 2.330754{col 27}{space 2} .9925848{col 38}{space 1}    2.35{col 47}{space 3}0.019{col 55}{space 4} .3853232{col 68}{space 3} 4.276184
{txt}{space 8}yr_42 {c |}{col 15}{res}{space 2} 2.251081{col 27}{space 2} .9838815{col 38}{space 1}    2.29{col 47}{space 3}0.022{col 55}{space 4} .3227089{col 68}{space 3} 4.179454
{txt}{space 8}yr_43 {c |}{col 15}{res}{space 2}  1.44565{col 27}{space 2} .9025777{col 38}{space 1}    1.60{col 47}{space 3}0.109{col 55}{space 4}-.3233695{col 68}{space 3}  3.21467
{txt}{space 8}yr_44 {c |}{col 15}{res}{space 2} .8212053{col 27}{space 2} 1.261652{col 38}{space 1}    0.65{col 47}{space 3}0.515{col 55}{space 4}-1.651586{col 68}{space 3} 3.293997
{txt}{space 8}yr_45 {c |}{col 15}{res}{space 2} .8875035{col 27}{space 2} 1.349708{col 38}{space 1}    0.66{col 47}{space 3}0.511{col 55}{space 4}-1.757875{col 68}{space 3} 3.532882
{txt}{space 8}yr_46 {c |}{col 15}{res}{space 2} 2.536423{col 27}{space 2} 2.393043{col 38}{space 1}    1.06{col 47}{space 3}0.289{col 55}{space 4}-2.153855{col 68}{space 3} 7.226701
{txt}{space 8}yr_47 {c |}{col 15}{res}{space 2}-1.543698{col 27}{space 2} 1.285342{col 38}{space 1}   -1.20{col 47}{space 3}0.230{col 55}{space 4}-4.062923{col 68}{space 3} .9755268
{txt}{space 8}yr_48 {c |}{col 15}{res}{space 2} 1.284798{col 27}{space 2} 1.219161{col 38}{space 1}    1.05{col 47}{space 3}0.292{col 55}{space 4}-1.104714{col 68}{space 3}  3.67431
{txt}{space 8}yr_49 {c |}{col 15}{res}{space 2}-.3279331{col 27}{space 2} 1.359172{col 38}{space 1}   -0.24{col 47}{space 3}0.809{col 55}{space 4} -2.99186{col 68}{space 3} 2.335994
{txt}{space 8}yr_50 {c |}{col 15}{res}{space 2} 1.394894{col 27}{space 2} 1.409906{col 38}{space 1}    0.99{col 47}{space 3}0.322{col 55}{space 4}-1.368471{col 68}{space 3} 4.158259
{txt}{space 8}yr_51 {c |}{col 15}{res}{space 2} 1.168218{col 27}{space 2}  1.61286{col 38}{space 1}    0.72{col 47}{space 3}0.469{col 55}{space 4}-1.992929{col 68}{space 3} 4.329366
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} 2.517312{col 27}{space 2} 1.136165{col 38}{space 1}    2.22{col 47}{space 3}0.027{col 55}{space 4}   .29047{col 68}{space 3} 4.744153
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} 4.976988{col 27}{space 2} 1.261599{col 38}{space 1}    3.94{col 47}{space 3}0.000{col 55}{space 4} 2.504299{col 68}{space 3} 7.449676
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-2.271557{col 27}{space 2}  1.18906{col 38}{space 1}   -1.91{col 47}{space 3}0.056{col 55}{space 4}-4.602072{col 68}{space 3} .0589573
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} 2.116302{col 27}{space 2} 1.241433{col 38}{space 1}    1.70{col 47}{space 3}0.088{col 55}{space 4}-.3168624{col 68}{space 3} 4.549466
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2} .3232476{col 27}{space 2} 1.128238{col 38}{space 1}    0.29{col 47}{space 3}0.774{col 55}{space 4}-1.888058{col 68}{space 3} 2.534553
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} 2.536928{col 27}{space 2} 1.422685{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4} -.251483{col 68}{space 3} 5.325339
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.3016279{col 27}{space 2}  1.06726{col 38}{space 1}   -0.28{col 47}{space 3}0.777{col 55}{space 4}-2.393419{col 68}{space 3} 1.790163
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}-.9868249{col 27}{space 2} 1.107456{col 38}{space 1}   -0.89{col 47}{space 3}0.373{col 55}{space 4}-3.157399{col 68}{space 3} 1.183749
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2} .2289829{col 27}{space 2} 1.817735{col 38}{space 1}    0.13{col 47}{space 3}0.900{col 55}{space 4}-3.333713{col 68}{space 3} 3.791679
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2} .0319382{col 27}{space 2}  1.44448{col 38}{space 1}    0.02{col 47}{space 3}0.982{col 55}{space 4}-2.799191{col 68}{space 3} 2.863068
{txt}{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-24.18137{col 27}{space 2}  2.23734{col 38}{space 1}  -10.81{col 47}{space 3}0.000{col 55}{space 4}-28.56648{col 68}{space 3}-19.79627
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc rgn_* yr_*, cluster(ccode) baseoutcome(0)

{txt}note: rgn_5 omitted because of collinearity
note: yr_62 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6989.6981}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2244.4817}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1537.9957}  
Iteration 3:{space 3}log pseudolikelihood = {res: -981.4809}  
Iteration 4:{space 3}log pseudolikelihood = {res:-947.02744}  
Iteration 5:{space 3}log pseudolikelihood = {res:-944.09708}  
Iteration 6:{space 3}log pseudolikelihood = {res:-944.07997}  
Iteration 7:{space 3}log pseudolikelihood = {res:-944.07997}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      6769
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(137)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-944.07997{txt}{col 51}Pseudo R2{col 67}= {res}    0.8649

{txt}{ralign 79:(Std. Err. adjusted for {res:149} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2}  5.86155{col 27}{space 2} .2421665{col 38}{space 1}   24.20{col 47}{space 3}0.000{col 55}{space 4} 5.386912{col 68}{space 3} 6.336187
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .5306614{col 27}{space 2}  .056898{col 38}{space 1}    9.33{col 47}{space 3}0.000{col 55}{space 4} .4191434{col 68}{space 3} .6421795
{txt}{space 7}civtot {c |}{col 15}{res}{space 2} -.105005{col 27}{space 2}  .070666{col 38}{space 1}   -1.49{col 47}{space 3}0.137{col 55}{space 4}-.2435078{col 68}{space 3} .0334977
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.2692641{col 27}{space 2} .1159147{col 38}{space 1}   -2.32{col 47}{space 3}0.020{col 55}{space 4}-.4964528{col 68}{space 3}-.0420755
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}-.1221998{col 27}{space 2} .1158935{col 38}{space 1}   -1.05{col 47}{space 3}0.292{col 55}{space 4}-.3493468{col 68}{space 3} .1049472
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2} .2230838{col 27}{space 2} .2750757{col 38}{space 1}    0.81{col 47}{space 3}0.417{col 55}{space 4}-.3160546{col 68}{space 3} .7622223
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-1.305811{col 27}{space 2} .2783687{col 38}{space 1}   -4.69{col 47}{space 3}0.000{col 55}{space 4}-1.851403{col 68}{space 3}-.7602179
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-.7448981{col 27}{space 2} .2572636{col 38}{space 1}   -2.90{col 47}{space 3}0.004{col 55}{space 4}-1.249126{col 68}{space 3}-.2406707
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-1.621967{col 27}{space 2} .2417948{col 38}{space 1}   -6.71{col 47}{space 3}0.000{col 55}{space 4}-2.095876{col 68}{space 3}-1.148058
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2} 1.130026{col 27}{space 2}  .956198{col 38}{space 1}    1.18{col 47}{space 3}0.237{col 55}{space 4}-.7440872{col 68}{space 3}  3.00414
{txt}{space 9}yr_2 {c |}{col 15}{res}{space 2}-1.048241{col 27}{space 2} .6588538{col 38}{space 1}   -1.59{col 47}{space 3}0.112{col 55}{space 4}-2.339571{col 68}{space 3} .2430883
{txt}{space 9}yr_3 {c |}{col 15}{res}{space 2}-.9451206{col 27}{space 2}  .630433{col 38}{space 1}   -1.50{col 47}{space 3}0.134{col 55}{space 4}-2.180747{col 68}{space 3} .2905053
{txt}{space 9}yr_4 {c |}{col 15}{res}{space 2}-.9464036{col 27}{space 2} .6297391{col 38}{space 1}   -1.50{col 47}{space 3}0.133{col 55}{space 4} -2.18067{col 68}{space 3} .2878623
{txt}{space 9}yr_5 {c |}{col 15}{res}{space 2}-.8160958{col 27}{space 2} .6468449{col 38}{space 1}   -1.26{col 47}{space 3}0.207{col 55}{space 4}-2.083888{col 68}{space 3} .4516969
{txt}{space 9}yr_6 {c |}{col 15}{res}{space 2}-1.986105{col 27}{space 2} .8993396{col 38}{space 1}   -2.21{col 47}{space 3}0.027{col 55}{space 4}-3.748778{col 68}{space 3}-.2234317
{txt}{space 9}yr_7 {c |}{col 15}{res}{space 2}-1.260841{col 27}{space 2} .6320721{col 38}{space 1}   -1.99{col 47}{space 3}0.046{col 55}{space 4}-2.499679{col 68}{space 3}-.0220022
{txt}{space 9}yr_8 {c |}{col 15}{res}{space 2} .3857633{col 27}{space 2} .8701517{col 38}{space 1}    0.44{col 47}{space 3}0.658{col 55}{space 4}-1.319703{col 68}{space 3} 2.091229
{txt}{space 9}yr_9 {c |}{col 15}{res}{space 2} .6851674{col 27}{space 2} .8545938{col 38}{space 1}    0.80{col 47}{space 3}0.423{col 55}{space 4}-.9898056{col 68}{space 3}  2.36014
{txt}{space 8}yr_10 {c |}{col 15}{res}{space 2}-.7768787{col 27}{space 2} .6114948{col 38}{space 1}   -1.27{col 47}{space 3}0.204{col 55}{space 4}-1.975387{col 68}{space 3} .4216291
{txt}{space 8}yr_11 {c |}{col 15}{res}{space 2}-1.509078{col 27}{space 2} .7360159{col 38}{space 1}   -2.05{col 47}{space 3}0.040{col 55}{space 4}-2.951643{col 68}{space 3}-.0665134
{txt}{space 8}yr_12 {c |}{col 15}{res}{space 2}-1.740325{col 27}{space 2} .9827087{col 38}{space 1}   -1.77{col 47}{space 3}0.077{col 55}{space 4}-3.666399{col 68}{space 3} .1857486
{txt}{space 8}yr_13 {c |}{col 15}{res}{space 2}-.9430322{col 27}{space 2} .5874115{col 38}{space 1}   -1.61{col 47}{space 3}0.108{col 55}{space 4}-2.094338{col 68}{space 3} .2082732
{txt}{space 8}yr_14 {c |}{col 15}{res}{space 2}-1.588933{col 27}{space 2} .7590889{col 38}{space 1}   -2.09{col 47}{space 3}0.036{col 55}{space 4} -3.07672{col 68}{space 3}-.1011465
{txt}{space 8}yr_15 {c |}{col 15}{res}{space 2}   -1.038{col 27}{space 2} .5709777{col 38}{space 1}   -1.82{col 47}{space 3}0.069{col 55}{space 4}-2.157096{col 68}{space 3} .0810954
{txt}{space 8}yr_16 {c |}{col 15}{res}{space 2}-1.396616{col 27}{space 2} .8971713{col 38}{space 1}   -1.56{col 47}{space 3}0.120{col 55}{space 4} -3.15504{col 68}{space 3} .3618072
{txt}{space 8}yr_17 {c |}{col 15}{res}{space 2}-.0195041{col 27}{space 2} .7399188{col 38}{space 1}   -0.03{col 47}{space 3}0.979{col 55}{space 4}-1.469718{col 68}{space 3}  1.43071
{txt}{space 8}yr_18 {c |}{col 15}{res}{space 2}-.4209631{col 27}{space 2} .8417539{col 38}{space 1}   -0.50{col 47}{space 3}0.617{col 55}{space 4} -2.07077{col 68}{space 3} 1.228844
{txt}{space 8}yr_19 {c |}{col 15}{res}{space 2}-.4102214{col 27}{space 2} .5863747{col 38}{space 1}   -0.70{col 47}{space 3}0.484{col 55}{space 4}-1.559495{col 68}{space 3} .7390519
{txt}{space 8}yr_20 {c |}{col 15}{res}{space 2}-2.375109{col 27}{space 2} .7955057{col 38}{space 1}   -2.99{col 47}{space 3}0.003{col 55}{space 4}-3.934272{col 68}{space 3}-.8159466
{txt}{space 8}yr_21 {c |}{col 15}{res}{space 2}-.7498443{col 27}{space 2} .9367691{col 38}{space 1}   -0.80{col 47}{space 3}0.423{col 55}{space 4}-2.585878{col 68}{space 3} 1.086189
{txt}{space 8}yr_22 {c |}{col 15}{res}{space 2}-.9395789{col 27}{space 2} .6694039{col 38}{space 1}   -1.40{col 47}{space 3}0.160{col 55}{space 4}-2.251586{col 68}{space 3} .3724287
{txt}{space 8}yr_23 {c |}{col 15}{res}{space 2}-.9735037{col 27}{space 2} .7860364{col 38}{space 1}   -1.24{col 47}{space 3}0.216{col 55}{space 4}-2.514107{col 68}{space 3} .5670994
{txt}{space 8}yr_24 {c |}{col 15}{res}{space 2}-2.390902{col 27}{space 2} .7965332{col 38}{space 1}   -3.00{col 47}{space 3}0.003{col 55}{space 4}-3.952079{col 68}{space 3}-.8297257
{txt}{space 8}yr_25 {c |}{col 15}{res}{space 2}-1.414876{col 27}{space 2} .7932844{col 38}{space 1}   -1.78{col 47}{space 3}0.074{col 55}{space 4}-2.969685{col 68}{space 3} .1399331
{txt}{space 8}yr_26 {c |}{col 15}{res}{space 2}-1.614476{col 27}{space 2} .7658819{col 38}{space 1}   -2.11{col 47}{space 3}0.035{col 55}{space 4}-3.115577{col 68}{space 3}-.1133754
{txt}{space 8}yr_27 {c |}{col 15}{res}{space 2}-.2293514{col 27}{space 2} .6888262{col 38}{space 1}   -0.33{col 47}{space 3}0.739{col 55}{space 4}-1.579426{col 68}{space 3} 1.120723
{txt}{space 8}yr_28 {c |}{col 15}{res}{space 2}-.9890228{col 27}{space 2} .5702433{col 38}{space 1}   -1.73{col 47}{space 3}0.083{col 55}{space 4}-2.106679{col 68}{space 3} .1286336
{txt}{space 8}yr_29 {c |}{col 15}{res}{space 2}-.2122607{col 27}{space 2} .9562641{col 38}{space 1}   -0.22{col 47}{space 3}0.824{col 55}{space 4}-2.086504{col 68}{space 3} 1.661983
{txt}{space 8}yr_30 {c |}{col 15}{res}{space 2}-.5546508{col 27}{space 2} 1.077299{col 38}{space 1}   -0.51{col 47}{space 3}0.607{col 55}{space 4}-2.666117{col 68}{space 3} 1.556816
{txt}{space 8}yr_31 {c |}{col 15}{res}{space 2}-.9146094{col 27}{space 2} .8793907{col 38}{space 1}   -1.04{col 47}{space 3}0.298{col 55}{space 4}-2.638183{col 68}{space 3} .8089647
{txt}{space 8}yr_32 {c |}{col 15}{res}{space 2}-.0517344{col 27}{space 2} .6819109{col 38}{space 1}   -0.08{col 47}{space 3}0.940{col 55}{space 4}-1.388255{col 68}{space 3} 1.284786
{txt}{space 8}yr_33 {c |}{col 15}{res}{space 2}-1.725457{col 27}{space 2} .8456735{col 38}{space 1}   -2.04{col 47}{space 3}0.041{col 55}{space 4}-3.382946{col 68}{space 3} -.067967
{txt}{space 8}yr_34 {c |}{col 15}{res}{space 2}-1.149252{col 27}{space 2} .5685135{col 38}{space 1}   -2.02{col 47}{space 3}0.043{col 55}{space 4}-2.263518{col 68}{space 3}-.0349858
{txt}{space 8}yr_35 {c |}{col 15}{res}{space 2} .1635585{col 27}{space 2}  .701216{col 38}{space 1}    0.23{col 47}{space 3}0.816{col 55}{space 4}  -1.2108{col 68}{space 3} 1.537917
{txt}{space 8}yr_36 {c |}{col 15}{res}{space 2}-.7341894{col 27}{space 2} .6041854{col 38}{space 1}   -1.22{col 47}{space 3}0.224{col 55}{space 4}-1.918371{col 68}{space 3} .4499922
{txt}{space 8}yr_37 {c |}{col 15}{res}{space 2}-.8015745{col 27}{space 2} .5775942{col 38}{space 1}   -1.39{col 47}{space 3}0.165{col 55}{space 4}-1.933638{col 68}{space 3} .3304895
{txt}{space 8}yr_38 {c |}{col 15}{res}{space 2} -1.35634{col 27}{space 2}  .737809{col 38}{space 1}   -1.84{col 47}{space 3}0.066{col 55}{space 4}-2.802419{col 68}{space 3} .0897393
{txt}{space 8}yr_39 {c |}{col 15}{res}{space 2}-.9737392{col 27}{space 2} .5662866{col 38}{space 1}   -1.72{col 47}{space 3}0.086{col 55}{space 4} -2.08364{col 68}{space 3} .1361622
{txt}{space 8}yr_40 {c |}{col 15}{res}{space 2} .1352589{col 27}{space 2} .7541443{col 38}{space 1}    0.18{col 47}{space 3}0.858{col 55}{space 4}-1.342837{col 68}{space 3} 1.613354
{txt}{space 8}yr_41 {c |}{col 15}{res}{space 2} .6612251{col 27}{space 2} .6750496{col 38}{space 1}    0.98{col 47}{space 3}0.327{col 55}{space 4}-.6618477{col 68}{space 3} 1.984298
{txt}{space 8}yr_42 {c |}{col 15}{res}{space 2}  .844193{col 27}{space 2} .7048797{col 38}{space 1}    1.20{col 47}{space 3}0.231{col 55}{space 4}-.5373459{col 68}{space 3} 2.225732
{txt}{space 8}yr_43 {c |}{col 15}{res}{space 2} .1690449{col 27}{space 2} .6122934{col 38}{space 1}    0.28{col 47}{space 3}0.782{col 55}{space 4}-1.031028{col 68}{space 3} 1.369118
{txt}{space 8}yr_44 {c |}{col 15}{res}{space 2} .5384862{col 27}{space 2} .6410383{col 38}{space 1}    0.84{col 47}{space 3}0.401{col 55}{space 4}-.7179259{col 68}{space 3} 1.794898
{txt}{space 8}yr_45 {c |}{col 15}{res}{space 2} .1645849{col 27}{space 2} .6560216{col 38}{space 1}    0.25{col 47}{space 3}0.802{col 55}{space 4}-1.121194{col 68}{space 3} 1.450364
{txt}{space 8}yr_46 {c |}{col 15}{res}{space 2} 1.182799{col 27}{space 2} .7425572{col 38}{space 1}    1.59{col 47}{space 3}0.111{col 55}{space 4}-.2725862{col 68}{space 3} 2.638185
{txt}{space 8}yr_47 {c |}{col 15}{res}{space 2}-.3754997{col 27}{space 2} .8561086{col 38}{space 1}   -0.44{col 47}{space 3}0.661{col 55}{space 4}-2.053442{col 68}{space 3} 1.302442
{txt}{space 8}yr_48 {c |}{col 15}{res}{space 2}-1.119059{col 27}{space 2} .8729962{col 38}{space 1}   -1.28{col 47}{space 3}0.200{col 55}{space 4}  -2.8301{col 68}{space 3} .5919818
{txt}{space 8}yr_49 {c |}{col 15}{res}{space 2}-.2378926{col 27}{space 2} .9196024{col 38}{space 1}   -0.26{col 47}{space 3}0.796{col 55}{space 4} -2.04028{col 68}{space 3} 1.564495
{txt}{space 8}yr_50 {c |}{col 15}{res}{space 2} .0122818{col 27}{space 2} .6650067{col 38}{space 1}    0.02{col 47}{space 3}0.985{col 55}{space 4}-1.291107{col 68}{space 3} 1.315671
{txt}{space 8}yr_51 {c |}{col 15}{res}{space 2} .6844187{col 27}{space 2} .7071284{col 38}{space 1}    0.97{col 47}{space 3}0.333{col 55}{space 4}-.7015275{col 68}{space 3} 2.070365
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} .6186562{col 27}{space 2} .6666489{col 38}{space 1}    0.93{col 47}{space 3}0.353{col 55}{space 4}-.6879516{col 68}{space 3} 1.925264
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} .6205686{col 27}{space 2} .8655226{col 38}{space 1}    0.72{col 47}{space 3}0.473{col 55}{space 4}-1.075824{col 68}{space 3} 2.316962
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-1.082658{col 27}{space 2} .8130278{col 38}{space 1}   -1.33{col 47}{space 3}0.183{col 55}{space 4}-2.676163{col 68}{space 3} .5108477
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} .2748979{col 27}{space 2} .7218802{col 38}{space 1}    0.38{col 47}{space 3}0.703{col 55}{space 4}-1.139961{col 68}{space 3} 1.689757
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2}-.0260486{col 27}{space 2} .6033544{col 38}{space 1}   -0.04{col 47}{space 3}0.966{col 55}{space 4}-1.208601{col 68}{space 3} 1.156504
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2}  .821156{col 27}{space 2} .7375125{col 38}{space 1}    1.11{col 47}{space 3}0.266{col 55}{space 4}-.6243418{col 68}{space 3} 2.266654
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.5265087{col 27}{space 2} .6117845{col 38}{space 1}   -0.86{col 47}{space 3}0.389{col 55}{space 4}-1.725584{col 68}{space 3} .6725669
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}  -.48532{col 27}{space 2} .5365877{col 38}{space 1}   -0.90{col 47}{space 3}0.366{col 55}{space 4}-1.537013{col 68}{space 3} .5663726
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2}  -.50921{col 27}{space 2}  .769367{col 38}{space 1}   -0.66{col 47}{space 3}0.508{col 55}{space 4}-2.017142{col 68}{space 3} .9987215
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2} .0260405{col 27}{space 2} .9696023{col 38}{space 1}    0.03{col 47}{space 3}0.979{col 55}{space 4}-1.874345{col 68}{space 3} 1.926426
{txt}{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-3.049598{col 27}{space 2} 1.125549{col 38}{space 1}   -2.71{col 47}{space 3}0.007{col 55}{space 4}-5.255633{col 68}{space 3}-.8435625
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 13.58486{col 27}{space 2} .5178779{col 38}{space 1}   26.23{col 47}{space 3}0.000{col 55}{space 4} 12.56983{col 68}{space 3} 14.59988
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.046951{col 27}{space 2} .1194613{col 38}{space 1}    8.76{col 47}{space 3}0.000{col 55}{space 4} .8128116{col 68}{space 3} 1.281091
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.3115374{col 27}{space 2} .1361268{col 38}{space 1}   -2.29{col 47}{space 3}0.022{col 55}{space 4}-.5783411{col 68}{space 3}-.0447338
{txt}{space 7}inttot {c |}{col 15}{res}{space 2} .1246917{col 27}{space 2} .1790681{col 38}{space 1}    0.70{col 47}{space 3}0.486{col 55}{space 4}-.2262754{col 68}{space 3} .4756587
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .5296988{col 27}{space 2} .2382563{col 38}{space 1}    2.22{col 47}{space 3}0.026{col 55}{space 4} .0627251{col 68}{space 3} .9966725
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2} .0348451{col 27}{space 2} .5859438{col 38}{space 1}    0.06{col 47}{space 3}0.953{col 55}{space 4}-1.113584{col 68}{space 3} 1.183274
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-1.165857{col 27}{space 2} .5968952{col 38}{space 1}   -1.95{col 47}{space 3}0.051{col 55}{space 4} -2.33575{col 68}{space 3} .0040363
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-.0834995{col 27}{space 2} .7014762{col 38}{space 1}   -0.12{col 47}{space 3}0.905{col 55}{space 4}-1.458367{col 68}{space 3} 1.291369
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-1.732993{col 27}{space 2}  .609896{col 38}{space 1}   -2.84{col 47}{space 3}0.004{col 55}{space 4}-2.928368{col 68}{space 3}-.5376191
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2} 3.547984{col 27}{space 2} 1.300035{col 38}{space 1}    2.73{col 47}{space 3}0.006{col 55}{space 4} .9999624{col 68}{space 3} 6.096005
{txt}{space 9}yr_2 {c |}{col 15}{res}{space 2} 1.455879{col 27}{space 2} 1.086363{col 38}{space 1}    1.34{col 47}{space 3}0.180{col 55}{space 4}-.6733526{col 68}{space 3} 3.585111
{txt}{space 9}yr_3 {c |}{col 15}{res}{space 2} 1.526276{col 27}{space 2} 1.071835{col 38}{space 1}    1.42{col 47}{space 3}0.154{col 55}{space 4}-.5744827{col 68}{space 3} 3.627035
{txt}{space 9}yr_4 {c |}{col 15}{res}{space 2}  1.45807{col 27}{space 2} 1.068524{col 38}{space 1}    1.36{col 47}{space 3}0.172{col 55}{space 4}-.6361985{col 68}{space 3} 3.552338
{txt}{space 9}yr_5 {c |}{col 15}{res}{space 2} 1.557411{col 27}{space 2} 1.080738{col 38}{space 1}    1.44{col 47}{space 3}0.150{col 55}{space 4}-.5607963{col 68}{space 3} 3.675619
{txt}{space 9}yr_6 {c |}{col 15}{res}{space 2} .3383399{col 27}{space 2} 1.199563{col 38}{space 1}    0.28{col 47}{space 3}0.778{col 55}{space 4} -2.01276{col 68}{space 3}  2.68944
{txt}{space 9}yr_7 {c |}{col 15}{res}{space 2} 1.030495{col 27}{space 2} 1.039457{col 38}{space 1}    0.99{col 47}{space 3}0.322{col 55}{space 4}-1.006803{col 68}{space 3} 3.067794
{txt}{space 9}yr_8 {c |}{col 15}{res}{space 2} 4.518601{col 27}{space 2} 2.066326{col 38}{space 1}    2.19{col 47}{space 3}0.029{col 55}{space 4} .4686759{col 68}{space 3} 8.568526
{txt}{space 9}yr_9 {c |}{col 15}{res}{space 2} 3.222982{col 27}{space 2}  1.20845{col 38}{space 1}    2.67{col 47}{space 3}0.008{col 55}{space 4} .8544623{col 68}{space 3} 5.591501
{txt}{space 8}yr_10 {c |}{col 15}{res}{space 2}  1.69265{col 27}{space 2} 1.016999{col 38}{space 1}    1.66{col 47}{space 3}0.096{col 55}{space 4}-.3006306{col 68}{space 3} 3.685931
{txt}{space 8}yr_11 {c |}{col 15}{res}{space 2}-.3278201{col 27}{space 2} 1.301537{col 38}{space 1}   -0.25{col 47}{space 3}0.801{col 55}{space 4}-2.878786{col 68}{space 3} 2.223146
{txt}{space 8}yr_12 {c |}{col 15}{res}{space 2} .4631066{col 27}{space 2} 1.344504{col 38}{space 1}    0.34{col 47}{space 3}0.731{col 55}{space 4}-2.172073{col 68}{space 3} 3.098287
{txt}{space 8}yr_13 {c |}{col 15}{res}{space 2} .0027521{col 27}{space 2}  1.25759{col 38}{space 1}    0.00{col 47}{space 3}0.998{col 55}{space 4} -2.46208{col 68}{space 3} 2.467584
{txt}{space 8}yr_14 {c |}{col 15}{res}{space 2} .5765067{col 27}{space 2} 1.058169{col 38}{space 1}    0.54{col 47}{space 3}0.586{col 55}{space 4}-1.497467{col 68}{space 3} 2.650481
{txt}{space 8}yr_15 {c |}{col 15}{res}{space 2} 1.065751{col 27}{space 2} .9504343{col 38}{space 1}    1.12{col 47}{space 3}0.262{col 55}{space 4}-.7970659{col 68}{space 3} 2.928568
{txt}{space 8}yr_16 {c |}{col 15}{res}{space 2} .6650426{col 27}{space 2} 1.168773{col 38}{space 1}    0.57{col 47}{space 3}0.569{col 55}{space 4}-1.625711{col 68}{space 3} 2.955796
{txt}{space 8}yr_17 {c |}{col 15}{res}{space 2} 2.245215{col 27}{space 2} 1.032712{col 38}{space 1}    2.17{col 47}{space 3}0.030{col 55}{space 4} .2211365{col 68}{space 3} 4.269293
{txt}{space 8}yr_18 {c |}{col 15}{res}{space 2} 1.944411{col 27}{space 2} 1.137694{col 38}{space 1}    1.71{col 47}{space 3}0.087{col 55}{space 4}-.2854277{col 68}{space 3} 4.174249
{txt}{space 8}yr_19 {c |}{col 15}{res}{space 2} .4090268{col 27}{space 2} 1.325261{col 38}{space 1}    0.31{col 47}{space 3}0.758{col 55}{space 4}-2.188436{col 68}{space 3}  3.00649
{txt}{space 8}yr_20 {c |}{col 15}{res}{space 2}-.1736113{col 27}{space 2} 1.075994{col 38}{space 1}   -0.16{col 47}{space 3}0.872{col 55}{space 4}-2.282521{col 68}{space 3} 1.935298
{txt}{space 8}yr_21 {c |}{col 15}{res}{space 2} .4010546{col 27}{space 2} 1.515421{col 38}{space 1}    0.26{col 47}{space 3}0.791{col 55}{space 4}-2.569116{col 68}{space 3} 3.371225
{txt}{space 8}yr_22 {c |}{col 15}{res}{space 2} 1.344439{col 27}{space 2} 1.023043{col 38}{space 1}    1.31{col 47}{space 3}0.189{col 55}{space 4}-.6606895{col 68}{space 3} 3.349567
{txt}{space 8}yr_23 {c |}{col 15}{res}{space 2}-.1028151{col 27}{space 2} 1.305115{col 38}{space 1}   -0.08{col 47}{space 3}0.937{col 55}{space 4}-2.660794{col 68}{space 3} 2.455163
{txt}{space 8}yr_24 {c |}{col 15}{res}{space 2}-1.698865{col 27}{space 2} 1.364541{col 38}{space 1}   -1.25{col 47}{space 3}0.213{col 55}{space 4}-4.373317{col 68}{space 3} .9755867
{txt}{space 8}yr_25 {c |}{col 15}{res}{space 2} .3354471{col 27}{space 2} 1.061362{col 38}{space 1}    0.32{col 47}{space 3}0.752{col 55}{space 4}-1.744785{col 68}{space 3} 2.415679
{txt}{space 8}yr_26 {c |}{col 15}{res}{space 2} .2193935{col 27}{space 2}  1.03415{col 38}{space 1}    0.21{col 47}{space 3}0.832{col 55}{space 4}-1.807503{col 68}{space 3}  2.24629
{txt}{space 8}yr_27 {c |}{col 15}{res}{space 2} 1.544598{col 27}{space 2} .9996619{col 38}{space 1}    1.55{col 47}{space 3}0.122{col 55}{space 4}-.4147035{col 68}{space 3} 3.503899
{txt}{space 8}yr_28 {c |}{col 15}{res}{space 2} 2.110121{col 27}{space 2} 1.331678{col 38}{space 1}    1.58{col 47}{space 3}0.113{col 55}{space 4}-.4999187{col 68}{space 3} 4.720161
{txt}{space 8}yr_29 {c |}{col 15}{res}{space 2} 3.068945{col 27}{space 2} 1.648219{col 38}{space 1}    1.86{col 47}{space 3}0.063{col 55}{space 4}-.1615044{col 68}{space 3} 6.299394
{txt}{space 8}yr_30 {c |}{col 15}{res}{space 2} 2.431089{col 27}{space 2} 1.899917{col 38}{space 1}    1.28{col 47}{space 3}0.201{col 55}{space 4}-1.292681{col 68}{space 3} 6.154859
{txt}{space 8}yr_31 {c |}{col 15}{res}{space 2}  2.04287{col 27}{space 2}  1.47398{col 38}{space 1}    1.39{col 47}{space 3}0.166{col 55}{space 4}-.8460787{col 68}{space 3} 4.931818
{txt}{space 8}yr_32 {c |}{col 15}{res}{space 2} 2.002595{col 27}{space 2} 1.045169{col 38}{space 1}    1.92{col 47}{space 3}0.055{col 55}{space 4}-.0458973{col 68}{space 3} 4.051088
{txt}{space 8}yr_33 {c |}{col 15}{res}{space 2}-1.023022{col 27}{space 2} 1.471687{col 38}{space 1}   -0.70{col 47}{space 3}0.487{col 55}{space 4}-3.907475{col 68}{space 3} 1.861432
{txt}{space 8}yr_34 {c |}{col 15}{res}{space 2} .4563735{col 27}{space 2} .9291938{col 38}{space 1}    0.49{col 47}{space 3}0.623{col 55}{space 4}-1.364813{col 68}{space 3}  2.27756
{txt}{space 8}yr_35 {c |}{col 15}{res}{space 2} 1.762565{col 27}{space 2} 1.010882{col 38}{space 1}    1.74{col 47}{space 3}0.081{col 55}{space 4}-.2187265{col 68}{space 3} 3.743857
{txt}{space 8}yr_36 {c |}{col 15}{res}{space 2} 2.161715{col 27}{space 2} 1.313364{col 38}{space 1}    1.65{col 47}{space 3}0.100{col 55}{space 4}-.4124315{col 68}{space 3} 4.735861
{txt}{space 8}yr_37 {c |}{col 15}{res}{space 2}  .723926{col 27}{space 2} .9312365{col 38}{space 1}    0.78{col 47}{space 3}0.437{col 55}{space 4}-1.101264{col 68}{space 3} 2.549116
{txt}{space 8}yr_38 {c |}{col 15}{res}{space 2} .3101155{col 27}{space 2} 1.035974{col 38}{space 1}    0.30{col 47}{space 3}0.765{col 55}{space 4}-1.720356{col 68}{space 3} 2.340587
{txt}{space 8}yr_39 {c |}{col 15}{res}{space 2} 2.025429{col 27}{space 2} 1.236956{col 38}{space 1}    1.64{col 47}{space 3}0.102{col 55}{space 4} -.398959{col 68}{space 3} 4.449818
{txt}{space 8}yr_40 {c |}{col 15}{res}{space 2} 1.800875{col 27}{space 2} 1.022892{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4}-.2039564{col 68}{space 3} 3.805706
{txt}{space 8}yr_41 {c |}{col 15}{res}{space 2} 2.241405{col 27}{space 2}  .969676{col 38}{space 1}    2.31{col 47}{space 3}0.021{col 55}{space 4} .3408751{col 68}{space 3} 4.141935
{txt}{space 8}yr_42 {c |}{col 15}{res}{space 2} 2.325984{col 27}{space 2} .9721173{col 38}{space 1}    2.39{col 47}{space 3}0.017{col 55}{space 4} .4206688{col 68}{space 3} 4.231299
{txt}{space 8}yr_43 {c |}{col 15}{res}{space 2} 1.569992{col 27}{space 2} .8829568{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4} -.160571{col 68}{space 3} 3.300556
{txt}{space 8}yr_44 {c |}{col 15}{res}{space 2} .9009919{col 27}{space 2} 1.252133{col 38}{space 1}    0.72{col 47}{space 3}0.472{col 55}{space 4}-1.553144{col 68}{space 3} 3.355128
{txt}{space 8}yr_45 {c |}{col 15}{res}{space 2}  .956902{col 27}{space 2} 1.268024{col 38}{space 1}    0.75{col 47}{space 3}0.450{col 55}{space 4}-1.528379{col 68}{space 3} 3.442183
{txt}{space 8}yr_46 {c |}{col 15}{res}{space 2}  2.66831{col 27}{space 2} 2.509681{col 38}{space 1}    1.06{col 47}{space 3}0.288{col 55}{space 4}-2.250575{col 68}{space 3} 7.587194
{txt}{space 8}yr_47 {c |}{col 15}{res}{space 2}-1.379683{col 27}{space 2} 1.290211{col 38}{space 1}   -1.07{col 47}{space 3}0.285{col 55}{space 4} -3.90845{col 68}{space 3} 1.149084
{txt}{space 8}yr_48 {c |}{col 15}{res}{space 2} 1.386582{col 27}{space 2} 1.211506{col 38}{space 1}    1.14{col 47}{space 3}0.252{col 55}{space 4}-.9879253{col 68}{space 3}  3.76109
{txt}{space 8}yr_49 {c |}{col 15}{res}{space 2}-.1569784{col 27}{space 2} 1.345939{col 38}{space 1}   -0.12{col 47}{space 3}0.907{col 55}{space 4}-2.794971{col 68}{space 3} 2.481014
{txt}{space 8}yr_50 {c |}{col 15}{res}{space 2} 1.542174{col 27}{space 2} 1.394862{col 38}{space 1}    1.11{col 47}{space 3}0.269{col 55}{space 4}-1.191705{col 68}{space 3} 4.276053
{txt}{space 8}yr_51 {c |}{col 15}{res}{space 2} 1.388899{col 27}{space 2} 1.581309{col 38}{space 1}    0.88{col 47}{space 3}0.380{col 55}{space 4}-1.710408{col 68}{space 3} 4.488207
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} 2.596733{col 27}{space 2} 1.114636{col 38}{space 1}    2.33{col 47}{space 3}0.020{col 55}{space 4} .4120862{col 68}{space 3} 4.781381
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} 5.207657{col 27}{space 2} 1.242051{col 38}{space 1}    4.19{col 47}{space 3}0.000{col 55}{space 4} 2.773282{col 68}{space 3} 7.642031
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-2.067257{col 27}{space 2} 1.161599{col 38}{space 1}   -1.78{col 47}{space 3}0.075{col 55}{space 4}-4.343949{col 68}{space 3} .2094346
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} 2.190854{col 27}{space 2} 1.217428{col 38}{space 1}    1.80{col 47}{space 3}0.072{col 55}{space 4}-.1952609{col 68}{space 3} 4.576969
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2} .3338109{col 27}{space 2} 1.121607{col 38}{space 1}    0.30{col 47}{space 3}0.766{col 55}{space 4}-1.864499{col 68}{space 3} 2.532121
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} 2.629822{col 27}{space 2} 1.417661{col 38}{space 1}    1.86{col 47}{space 3}0.064{col 55}{space 4}-.1487421{col 68}{space 3} 5.408387
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.2591732{col 27}{space 2} 1.071879{col 38}{space 1}   -0.24{col 47}{space 3}0.809{col 55}{space 4}-2.360018{col 68}{space 3} 1.841672
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}-.9224151{col 27}{space 2} 1.080015{col 38}{space 1}   -0.85{col 47}{space 3}0.393{col 55}{space 4}-3.039206{col 68}{space 3} 1.194376
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2} .3417747{col 27}{space 2} 1.874822{col 38}{space 1}    0.18{col 47}{space 3}0.855{col 55}{space 4}-3.332808{col 68}{space 3} 4.016357
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2} .0685598{col 27}{space 2}  1.33841{col 38}{space 1}    0.05{col 47}{space 3}0.959{col 55}{space 4}-2.554675{col 68}{space 3} 2.691794
{txt}{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-24.89116{col 27}{space 2} 2.903807{col 38}{space 1}   -8.57{col 47}{space 3}0.000{col 55}{space 4}-30.58252{col 68}{space 3} -19.1998
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Table A5
. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc rgn_* yr_*, cluster(ccode) baseoutcome(0)

{txt}note: rgn_5 omitted because of collinearity
note: yr_62 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6989.6981}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2244.4817}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1537.9957}  
Iteration 3:{space 3}log pseudolikelihood = {res: -981.4809}  
Iteration 4:{space 3}log pseudolikelihood = {res:-947.02744}  
Iteration 5:{space 3}log pseudolikelihood = {res:-944.09708}  
Iteration 6:{space 3}log pseudolikelihood = {res:-944.07997}  
Iteration 7:{space 3}log pseudolikelihood = {res:-944.07997}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      6769
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(137)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-944.07997{txt}{col 51}Pseudo R2{col 67}= {res}    0.8649

{txt}{ralign 79:(Std. Err. adjusted for {res:149} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2}  5.86155{col 27}{space 2} .2421665{col 38}{space 1}   24.20{col 47}{space 3}0.000{col 55}{space 4} 5.386912{col 68}{space 3} 6.336187
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .5306614{col 27}{space 2}  .056898{col 38}{space 1}    9.33{col 47}{space 3}0.000{col 55}{space 4} .4191434{col 68}{space 3} .6421795
{txt}{space 7}civtot {c |}{col 15}{res}{space 2} -.105005{col 27}{space 2}  .070666{col 38}{space 1}   -1.49{col 47}{space 3}0.137{col 55}{space 4}-.2435078{col 68}{space 3} .0334977
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.2692641{col 27}{space 2} .1159147{col 38}{space 1}   -2.32{col 47}{space 3}0.020{col 55}{space 4}-.4964528{col 68}{space 3}-.0420755
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}-.1221998{col 27}{space 2} .1158935{col 38}{space 1}   -1.05{col 47}{space 3}0.292{col 55}{space 4}-.3493468{col 68}{space 3} .1049472
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2} .2230838{col 27}{space 2} .2750757{col 38}{space 1}    0.81{col 47}{space 3}0.417{col 55}{space 4}-.3160546{col 68}{space 3} .7622223
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-1.305811{col 27}{space 2} .2783687{col 38}{space 1}   -4.69{col 47}{space 3}0.000{col 55}{space 4}-1.851403{col 68}{space 3}-.7602179
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-.7448981{col 27}{space 2} .2572636{col 38}{space 1}   -2.90{col 47}{space 3}0.004{col 55}{space 4}-1.249126{col 68}{space 3}-.2406707
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-1.621967{col 27}{space 2} .2417948{col 38}{space 1}   -6.71{col 47}{space 3}0.000{col 55}{space 4}-2.095876{col 68}{space 3}-1.148058
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2} 1.130026{col 27}{space 2}  .956198{col 38}{space 1}    1.18{col 47}{space 3}0.237{col 55}{space 4}-.7440872{col 68}{space 3}  3.00414
{txt}{space 9}yr_2 {c |}{col 15}{res}{space 2}-1.048241{col 27}{space 2} .6588538{col 38}{space 1}   -1.59{col 47}{space 3}0.112{col 55}{space 4}-2.339571{col 68}{space 3} .2430883
{txt}{space 9}yr_3 {c |}{col 15}{res}{space 2}-.9451206{col 27}{space 2}  .630433{col 38}{space 1}   -1.50{col 47}{space 3}0.134{col 55}{space 4}-2.180747{col 68}{space 3} .2905053
{txt}{space 9}yr_4 {c |}{col 15}{res}{space 2}-.9464036{col 27}{space 2} .6297391{col 38}{space 1}   -1.50{col 47}{space 3}0.133{col 55}{space 4} -2.18067{col 68}{space 3} .2878623
{txt}{space 9}yr_5 {c |}{col 15}{res}{space 2}-.8160958{col 27}{space 2} .6468449{col 38}{space 1}   -1.26{col 47}{space 3}0.207{col 55}{space 4}-2.083888{col 68}{space 3} .4516969
{txt}{space 9}yr_6 {c |}{col 15}{res}{space 2}-1.986105{col 27}{space 2} .8993396{col 38}{space 1}   -2.21{col 47}{space 3}0.027{col 55}{space 4}-3.748778{col 68}{space 3}-.2234317
{txt}{space 9}yr_7 {c |}{col 15}{res}{space 2}-1.260841{col 27}{space 2} .6320721{col 38}{space 1}   -1.99{col 47}{space 3}0.046{col 55}{space 4}-2.499679{col 68}{space 3}-.0220022
{txt}{space 9}yr_8 {c |}{col 15}{res}{space 2} .3857633{col 27}{space 2} .8701517{col 38}{space 1}    0.44{col 47}{space 3}0.658{col 55}{space 4}-1.319703{col 68}{space 3} 2.091229
{txt}{space 9}yr_9 {c |}{col 15}{res}{space 2} .6851674{col 27}{space 2} .8545938{col 38}{space 1}    0.80{col 47}{space 3}0.423{col 55}{space 4}-.9898056{col 68}{space 3}  2.36014
{txt}{space 8}yr_10 {c |}{col 15}{res}{space 2}-.7768787{col 27}{space 2} .6114948{col 38}{space 1}   -1.27{col 47}{space 3}0.204{col 55}{space 4}-1.975387{col 68}{space 3} .4216291
{txt}{space 8}yr_11 {c |}{col 15}{res}{space 2}-1.509078{col 27}{space 2} .7360159{col 38}{space 1}   -2.05{col 47}{space 3}0.040{col 55}{space 4}-2.951643{col 68}{space 3}-.0665134
{txt}{space 8}yr_12 {c |}{col 15}{res}{space 2}-1.740325{col 27}{space 2} .9827087{col 38}{space 1}   -1.77{col 47}{space 3}0.077{col 55}{space 4}-3.666399{col 68}{space 3} .1857486
{txt}{space 8}yr_13 {c |}{col 15}{res}{space 2}-.9430322{col 27}{space 2} .5874115{col 38}{space 1}   -1.61{col 47}{space 3}0.108{col 55}{space 4}-2.094338{col 68}{space 3} .2082732
{txt}{space 8}yr_14 {c |}{col 15}{res}{space 2}-1.588933{col 27}{space 2} .7590889{col 38}{space 1}   -2.09{col 47}{space 3}0.036{col 55}{space 4} -3.07672{col 68}{space 3}-.1011465
{txt}{space 8}yr_15 {c |}{col 15}{res}{space 2}   -1.038{col 27}{space 2} .5709777{col 38}{space 1}   -1.82{col 47}{space 3}0.069{col 55}{space 4}-2.157096{col 68}{space 3} .0810954
{txt}{space 8}yr_16 {c |}{col 15}{res}{space 2}-1.396616{col 27}{space 2} .8971713{col 38}{space 1}   -1.56{col 47}{space 3}0.120{col 55}{space 4} -3.15504{col 68}{space 3} .3618072
{txt}{space 8}yr_17 {c |}{col 15}{res}{space 2}-.0195041{col 27}{space 2} .7399188{col 38}{space 1}   -0.03{col 47}{space 3}0.979{col 55}{space 4}-1.469718{col 68}{space 3}  1.43071
{txt}{space 8}yr_18 {c |}{col 15}{res}{space 2}-.4209631{col 27}{space 2} .8417539{col 38}{space 1}   -0.50{col 47}{space 3}0.617{col 55}{space 4} -2.07077{col 68}{space 3} 1.228844
{txt}{space 8}yr_19 {c |}{col 15}{res}{space 2}-.4102214{col 27}{space 2} .5863747{col 38}{space 1}   -0.70{col 47}{space 3}0.484{col 55}{space 4}-1.559495{col 68}{space 3} .7390519
{txt}{space 8}yr_20 {c |}{col 15}{res}{space 2}-2.375109{col 27}{space 2} .7955057{col 38}{space 1}   -2.99{col 47}{space 3}0.003{col 55}{space 4}-3.934272{col 68}{space 3}-.8159466
{txt}{space 8}yr_21 {c |}{col 15}{res}{space 2}-.7498443{col 27}{space 2} .9367691{col 38}{space 1}   -0.80{col 47}{space 3}0.423{col 55}{space 4}-2.585878{col 68}{space 3} 1.086189
{txt}{space 8}yr_22 {c |}{col 15}{res}{space 2}-.9395789{col 27}{space 2} .6694039{col 38}{space 1}   -1.40{col 47}{space 3}0.160{col 55}{space 4}-2.251586{col 68}{space 3} .3724287
{txt}{space 8}yr_23 {c |}{col 15}{res}{space 2}-.9735037{col 27}{space 2} .7860364{col 38}{space 1}   -1.24{col 47}{space 3}0.216{col 55}{space 4}-2.514107{col 68}{space 3} .5670994
{txt}{space 8}yr_24 {c |}{col 15}{res}{space 2}-2.390902{col 27}{space 2} .7965332{col 38}{space 1}   -3.00{col 47}{space 3}0.003{col 55}{space 4}-3.952079{col 68}{space 3}-.8297257
{txt}{space 8}yr_25 {c |}{col 15}{res}{space 2}-1.414876{col 27}{space 2} .7932844{col 38}{space 1}   -1.78{col 47}{space 3}0.074{col 55}{space 4}-2.969685{col 68}{space 3} .1399331
{txt}{space 8}yr_26 {c |}{col 15}{res}{space 2}-1.614476{col 27}{space 2} .7658819{col 38}{space 1}   -2.11{col 47}{space 3}0.035{col 55}{space 4}-3.115577{col 68}{space 3}-.1133754
{txt}{space 8}yr_27 {c |}{col 15}{res}{space 2}-.2293514{col 27}{space 2} .6888262{col 38}{space 1}   -0.33{col 47}{space 3}0.739{col 55}{space 4}-1.579426{col 68}{space 3} 1.120723
{txt}{space 8}yr_28 {c |}{col 15}{res}{space 2}-.9890228{col 27}{space 2} .5702433{col 38}{space 1}   -1.73{col 47}{space 3}0.083{col 55}{space 4}-2.106679{col 68}{space 3} .1286336
{txt}{space 8}yr_29 {c |}{col 15}{res}{space 2}-.2122607{col 27}{space 2} .9562641{col 38}{space 1}   -0.22{col 47}{space 3}0.824{col 55}{space 4}-2.086504{col 68}{space 3} 1.661983
{txt}{space 8}yr_30 {c |}{col 15}{res}{space 2}-.5546508{col 27}{space 2} 1.077299{col 38}{space 1}   -0.51{col 47}{space 3}0.607{col 55}{space 4}-2.666117{col 68}{space 3} 1.556816
{txt}{space 8}yr_31 {c |}{col 15}{res}{space 2}-.9146094{col 27}{space 2} .8793907{col 38}{space 1}   -1.04{col 47}{space 3}0.298{col 55}{space 4}-2.638183{col 68}{space 3} .8089647
{txt}{space 8}yr_32 {c |}{col 15}{res}{space 2}-.0517344{col 27}{space 2} .6819109{col 38}{space 1}   -0.08{col 47}{space 3}0.940{col 55}{space 4}-1.388255{col 68}{space 3} 1.284786
{txt}{space 8}yr_33 {c |}{col 15}{res}{space 2}-1.725457{col 27}{space 2} .8456735{col 38}{space 1}   -2.04{col 47}{space 3}0.041{col 55}{space 4}-3.382946{col 68}{space 3} -.067967
{txt}{space 8}yr_34 {c |}{col 15}{res}{space 2}-1.149252{col 27}{space 2} .5685135{col 38}{space 1}   -2.02{col 47}{space 3}0.043{col 55}{space 4}-2.263518{col 68}{space 3}-.0349858
{txt}{space 8}yr_35 {c |}{col 15}{res}{space 2} .1635585{col 27}{space 2}  .701216{col 38}{space 1}    0.23{col 47}{space 3}0.816{col 55}{space 4}  -1.2108{col 68}{space 3} 1.537917
{txt}{space 8}yr_36 {c |}{col 15}{res}{space 2}-.7341894{col 27}{space 2} .6041854{col 38}{space 1}   -1.22{col 47}{space 3}0.224{col 55}{space 4}-1.918371{col 68}{space 3} .4499922
{txt}{space 8}yr_37 {c |}{col 15}{res}{space 2}-.8015745{col 27}{space 2} .5775942{col 38}{space 1}   -1.39{col 47}{space 3}0.165{col 55}{space 4}-1.933638{col 68}{space 3} .3304895
{txt}{space 8}yr_38 {c |}{col 15}{res}{space 2} -1.35634{col 27}{space 2}  .737809{col 38}{space 1}   -1.84{col 47}{space 3}0.066{col 55}{space 4}-2.802419{col 68}{space 3} .0897393
{txt}{space 8}yr_39 {c |}{col 15}{res}{space 2}-.9737392{col 27}{space 2} .5662866{col 38}{space 1}   -1.72{col 47}{space 3}0.086{col 55}{space 4} -2.08364{col 68}{space 3} .1361622
{txt}{space 8}yr_40 {c |}{col 15}{res}{space 2} .1352589{col 27}{space 2} .7541443{col 38}{space 1}    0.18{col 47}{space 3}0.858{col 55}{space 4}-1.342837{col 68}{space 3} 1.613354
{txt}{space 8}yr_41 {c |}{col 15}{res}{space 2} .6612251{col 27}{space 2} .6750496{col 38}{space 1}    0.98{col 47}{space 3}0.327{col 55}{space 4}-.6618477{col 68}{space 3} 1.984298
{txt}{space 8}yr_42 {c |}{col 15}{res}{space 2}  .844193{col 27}{space 2} .7048797{col 38}{space 1}    1.20{col 47}{space 3}0.231{col 55}{space 4}-.5373459{col 68}{space 3} 2.225732
{txt}{space 8}yr_43 {c |}{col 15}{res}{space 2} .1690449{col 27}{space 2} .6122934{col 38}{space 1}    0.28{col 47}{space 3}0.782{col 55}{space 4}-1.031028{col 68}{space 3} 1.369118
{txt}{space 8}yr_44 {c |}{col 15}{res}{space 2} .5384862{col 27}{space 2} .6410383{col 38}{space 1}    0.84{col 47}{space 3}0.401{col 55}{space 4}-.7179259{col 68}{space 3} 1.794898
{txt}{space 8}yr_45 {c |}{col 15}{res}{space 2} .1645849{col 27}{space 2} .6560216{col 38}{space 1}    0.25{col 47}{space 3}0.802{col 55}{space 4}-1.121194{col 68}{space 3} 1.450364
{txt}{space 8}yr_46 {c |}{col 15}{res}{space 2} 1.182799{col 27}{space 2} .7425572{col 38}{space 1}    1.59{col 47}{space 3}0.111{col 55}{space 4}-.2725862{col 68}{space 3} 2.638185
{txt}{space 8}yr_47 {c |}{col 15}{res}{space 2}-.3754997{col 27}{space 2} .8561086{col 38}{space 1}   -0.44{col 47}{space 3}0.661{col 55}{space 4}-2.053442{col 68}{space 3} 1.302442
{txt}{space 8}yr_48 {c |}{col 15}{res}{space 2}-1.119059{col 27}{space 2} .8729962{col 38}{space 1}   -1.28{col 47}{space 3}0.200{col 55}{space 4}  -2.8301{col 68}{space 3} .5919818
{txt}{space 8}yr_49 {c |}{col 15}{res}{space 2}-.2378926{col 27}{space 2} .9196024{col 38}{space 1}   -0.26{col 47}{space 3}0.796{col 55}{space 4} -2.04028{col 68}{space 3} 1.564495
{txt}{space 8}yr_50 {c |}{col 15}{res}{space 2} .0122818{col 27}{space 2} .6650067{col 38}{space 1}    0.02{col 47}{space 3}0.985{col 55}{space 4}-1.291107{col 68}{space 3} 1.315671
{txt}{space 8}yr_51 {c |}{col 15}{res}{space 2} .6844187{col 27}{space 2} .7071284{col 38}{space 1}    0.97{col 47}{space 3}0.333{col 55}{space 4}-.7015275{col 68}{space 3} 2.070365
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} .6186562{col 27}{space 2} .6666489{col 38}{space 1}    0.93{col 47}{space 3}0.353{col 55}{space 4}-.6879516{col 68}{space 3} 1.925264
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} .6205686{col 27}{space 2} .8655226{col 38}{space 1}    0.72{col 47}{space 3}0.473{col 55}{space 4}-1.075824{col 68}{space 3} 2.316962
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-1.082658{col 27}{space 2} .8130278{col 38}{space 1}   -1.33{col 47}{space 3}0.183{col 55}{space 4}-2.676163{col 68}{space 3} .5108477
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} .2748979{col 27}{space 2} .7218802{col 38}{space 1}    0.38{col 47}{space 3}0.703{col 55}{space 4}-1.139961{col 68}{space 3} 1.689757
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2}-.0260486{col 27}{space 2} .6033544{col 38}{space 1}   -0.04{col 47}{space 3}0.966{col 55}{space 4}-1.208601{col 68}{space 3} 1.156504
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2}  .821156{col 27}{space 2} .7375125{col 38}{space 1}    1.11{col 47}{space 3}0.266{col 55}{space 4}-.6243418{col 68}{space 3} 2.266654
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.5265087{col 27}{space 2} .6117845{col 38}{space 1}   -0.86{col 47}{space 3}0.389{col 55}{space 4}-1.725584{col 68}{space 3} .6725669
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}  -.48532{col 27}{space 2} .5365877{col 38}{space 1}   -0.90{col 47}{space 3}0.366{col 55}{space 4}-1.537013{col 68}{space 3} .5663726
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2}  -.50921{col 27}{space 2}  .769367{col 38}{space 1}   -0.66{col 47}{space 3}0.508{col 55}{space 4}-2.017142{col 68}{space 3} .9987215
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2} .0260405{col 27}{space 2} .9696023{col 38}{space 1}    0.03{col 47}{space 3}0.979{col 55}{space 4}-1.874345{col 68}{space 3} 1.926426
{txt}{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-3.049598{col 27}{space 2} 1.125549{col 38}{space 1}   -2.71{col 47}{space 3}0.007{col 55}{space 4}-5.255633{col 68}{space 3}-.8435625
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 13.58486{col 27}{space 2} .5178779{col 38}{space 1}   26.23{col 47}{space 3}0.000{col 55}{space 4} 12.56983{col 68}{space 3} 14.59988
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.046951{col 27}{space 2} .1194613{col 38}{space 1}    8.76{col 47}{space 3}0.000{col 55}{space 4} .8128116{col 68}{space 3} 1.281091
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.3115374{col 27}{space 2} .1361268{col 38}{space 1}   -2.29{col 47}{space 3}0.022{col 55}{space 4}-.5783411{col 68}{space 3}-.0447338
{txt}{space 7}inttot {c |}{col 15}{res}{space 2} .1246917{col 27}{space 2} .1790681{col 38}{space 1}    0.70{col 47}{space 3}0.486{col 55}{space 4}-.2262754{col 68}{space 3} .4756587
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .5296988{col 27}{space 2} .2382563{col 38}{space 1}    2.22{col 47}{space 3}0.026{col 55}{space 4} .0627251{col 68}{space 3} .9966725
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2} .0348451{col 27}{space 2} .5859438{col 38}{space 1}    0.06{col 47}{space 3}0.953{col 55}{space 4}-1.113584{col 68}{space 3} 1.183274
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-1.165857{col 27}{space 2} .5968952{col 38}{space 1}   -1.95{col 47}{space 3}0.051{col 55}{space 4} -2.33575{col 68}{space 3} .0040363
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-.0834995{col 27}{space 2} .7014762{col 38}{space 1}   -0.12{col 47}{space 3}0.905{col 55}{space 4}-1.458367{col 68}{space 3} 1.291369
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-1.732993{col 27}{space 2}  .609896{col 38}{space 1}   -2.84{col 47}{space 3}0.004{col 55}{space 4}-2.928368{col 68}{space 3}-.5376191
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2} 3.547984{col 27}{space 2} 1.300035{col 38}{space 1}    2.73{col 47}{space 3}0.006{col 55}{space 4} .9999624{col 68}{space 3} 6.096005
{txt}{space 9}yr_2 {c |}{col 15}{res}{space 2} 1.455879{col 27}{space 2} 1.086363{col 38}{space 1}    1.34{col 47}{space 3}0.180{col 55}{space 4}-.6733526{col 68}{space 3} 3.585111
{txt}{space 9}yr_3 {c |}{col 15}{res}{space 2} 1.526276{col 27}{space 2} 1.071835{col 38}{space 1}    1.42{col 47}{space 3}0.154{col 55}{space 4}-.5744827{col 68}{space 3} 3.627035
{txt}{space 9}yr_4 {c |}{col 15}{res}{space 2}  1.45807{col 27}{space 2} 1.068524{col 38}{space 1}    1.36{col 47}{space 3}0.172{col 55}{space 4}-.6361985{col 68}{space 3} 3.552338
{txt}{space 9}yr_5 {c |}{col 15}{res}{space 2} 1.557411{col 27}{space 2} 1.080738{col 38}{space 1}    1.44{col 47}{space 3}0.150{col 55}{space 4}-.5607963{col 68}{space 3} 3.675619
{txt}{space 9}yr_6 {c |}{col 15}{res}{space 2} .3383399{col 27}{space 2} 1.199563{col 38}{space 1}    0.28{col 47}{space 3}0.778{col 55}{space 4} -2.01276{col 68}{space 3}  2.68944
{txt}{space 9}yr_7 {c |}{col 15}{res}{space 2} 1.030495{col 27}{space 2} 1.039457{col 38}{space 1}    0.99{col 47}{space 3}0.322{col 55}{space 4}-1.006803{col 68}{space 3} 3.067794
{txt}{space 9}yr_8 {c |}{col 15}{res}{space 2} 4.518601{col 27}{space 2} 2.066326{col 38}{space 1}    2.19{col 47}{space 3}0.029{col 55}{space 4} .4686759{col 68}{space 3} 8.568526
{txt}{space 9}yr_9 {c |}{col 15}{res}{space 2} 3.222982{col 27}{space 2}  1.20845{col 38}{space 1}    2.67{col 47}{space 3}0.008{col 55}{space 4} .8544623{col 68}{space 3} 5.591501
{txt}{space 8}yr_10 {c |}{col 15}{res}{space 2}  1.69265{col 27}{space 2} 1.016999{col 38}{space 1}    1.66{col 47}{space 3}0.096{col 55}{space 4}-.3006306{col 68}{space 3} 3.685931
{txt}{space 8}yr_11 {c |}{col 15}{res}{space 2}-.3278201{col 27}{space 2} 1.301537{col 38}{space 1}   -0.25{col 47}{space 3}0.801{col 55}{space 4}-2.878786{col 68}{space 3} 2.223146
{txt}{space 8}yr_12 {c |}{col 15}{res}{space 2} .4631066{col 27}{space 2} 1.344504{col 38}{space 1}    0.34{col 47}{space 3}0.731{col 55}{space 4}-2.172073{col 68}{space 3} 3.098287
{txt}{space 8}yr_13 {c |}{col 15}{res}{space 2} .0027521{col 27}{space 2}  1.25759{col 38}{space 1}    0.00{col 47}{space 3}0.998{col 55}{space 4} -2.46208{col 68}{space 3} 2.467584
{txt}{space 8}yr_14 {c |}{col 15}{res}{space 2} .5765067{col 27}{space 2} 1.058169{col 38}{space 1}    0.54{col 47}{space 3}0.586{col 55}{space 4}-1.497467{col 68}{space 3} 2.650481
{txt}{space 8}yr_15 {c |}{col 15}{res}{space 2} 1.065751{col 27}{space 2} .9504343{col 38}{space 1}    1.12{col 47}{space 3}0.262{col 55}{space 4}-.7970659{col 68}{space 3} 2.928568
{txt}{space 8}yr_16 {c |}{col 15}{res}{space 2} .6650426{col 27}{space 2} 1.168773{col 38}{space 1}    0.57{col 47}{space 3}0.569{col 55}{space 4}-1.625711{col 68}{space 3} 2.955796
{txt}{space 8}yr_17 {c |}{col 15}{res}{space 2} 2.245215{col 27}{space 2} 1.032712{col 38}{space 1}    2.17{col 47}{space 3}0.030{col 55}{space 4} .2211365{col 68}{space 3} 4.269293
{txt}{space 8}yr_18 {c |}{col 15}{res}{space 2} 1.944411{col 27}{space 2} 1.137694{col 38}{space 1}    1.71{col 47}{space 3}0.087{col 55}{space 4}-.2854277{col 68}{space 3} 4.174249
{txt}{space 8}yr_19 {c |}{col 15}{res}{space 2} .4090268{col 27}{space 2} 1.325261{col 38}{space 1}    0.31{col 47}{space 3}0.758{col 55}{space 4}-2.188436{col 68}{space 3}  3.00649
{txt}{space 8}yr_20 {c |}{col 15}{res}{space 2}-.1736113{col 27}{space 2} 1.075994{col 38}{space 1}   -0.16{col 47}{space 3}0.872{col 55}{space 4}-2.282521{col 68}{space 3} 1.935298
{txt}{space 8}yr_21 {c |}{col 15}{res}{space 2} .4010546{col 27}{space 2} 1.515421{col 38}{space 1}    0.26{col 47}{space 3}0.791{col 55}{space 4}-2.569116{col 68}{space 3} 3.371225
{txt}{space 8}yr_22 {c |}{col 15}{res}{space 2} 1.344439{col 27}{space 2} 1.023043{col 38}{space 1}    1.31{col 47}{space 3}0.189{col 55}{space 4}-.6606895{col 68}{space 3} 3.349567
{txt}{space 8}yr_23 {c |}{col 15}{res}{space 2}-.1028151{col 27}{space 2} 1.305115{col 38}{space 1}   -0.08{col 47}{space 3}0.937{col 55}{space 4}-2.660794{col 68}{space 3} 2.455163
{txt}{space 8}yr_24 {c |}{col 15}{res}{space 2}-1.698865{col 27}{space 2} 1.364541{col 38}{space 1}   -1.25{col 47}{space 3}0.213{col 55}{space 4}-4.373317{col 68}{space 3} .9755867
{txt}{space 8}yr_25 {c |}{col 15}{res}{space 2} .3354471{col 27}{space 2} 1.061362{col 38}{space 1}    0.32{col 47}{space 3}0.752{col 55}{space 4}-1.744785{col 68}{space 3} 2.415679
{txt}{space 8}yr_26 {c |}{col 15}{res}{space 2} .2193935{col 27}{space 2}  1.03415{col 38}{space 1}    0.21{col 47}{space 3}0.832{col 55}{space 4}-1.807503{col 68}{space 3}  2.24629
{txt}{space 8}yr_27 {c |}{col 15}{res}{space 2} 1.544598{col 27}{space 2} .9996619{col 38}{space 1}    1.55{col 47}{space 3}0.122{col 55}{space 4}-.4147035{col 68}{space 3} 3.503899
{txt}{space 8}yr_28 {c |}{col 15}{res}{space 2} 2.110121{col 27}{space 2} 1.331678{col 38}{space 1}    1.58{col 47}{space 3}0.113{col 55}{space 4}-.4999187{col 68}{space 3} 4.720161
{txt}{space 8}yr_29 {c |}{col 15}{res}{space 2} 3.068945{col 27}{space 2} 1.648219{col 38}{space 1}    1.86{col 47}{space 3}0.063{col 55}{space 4}-.1615044{col 68}{space 3} 6.299394
{txt}{space 8}yr_30 {c |}{col 15}{res}{space 2} 2.431089{col 27}{space 2} 1.899917{col 38}{space 1}    1.28{col 47}{space 3}0.201{col 55}{space 4}-1.292681{col 68}{space 3} 6.154859
{txt}{space 8}yr_31 {c |}{col 15}{res}{space 2}  2.04287{col 27}{space 2}  1.47398{col 38}{space 1}    1.39{col 47}{space 3}0.166{col 55}{space 4}-.8460787{col 68}{space 3} 4.931818
{txt}{space 8}yr_32 {c |}{col 15}{res}{space 2} 2.002595{col 27}{space 2} 1.045169{col 38}{space 1}    1.92{col 47}{space 3}0.055{col 55}{space 4}-.0458973{col 68}{space 3} 4.051088
{txt}{space 8}yr_33 {c |}{col 15}{res}{space 2}-1.023022{col 27}{space 2} 1.471687{col 38}{space 1}   -0.70{col 47}{space 3}0.487{col 55}{space 4}-3.907475{col 68}{space 3} 1.861432
{txt}{space 8}yr_34 {c |}{col 15}{res}{space 2} .4563735{col 27}{space 2} .9291938{col 38}{space 1}    0.49{col 47}{space 3}0.623{col 55}{space 4}-1.364813{col 68}{space 3}  2.27756
{txt}{space 8}yr_35 {c |}{col 15}{res}{space 2} 1.762565{col 27}{space 2} 1.010882{col 38}{space 1}    1.74{col 47}{space 3}0.081{col 55}{space 4}-.2187265{col 68}{space 3} 3.743857
{txt}{space 8}yr_36 {c |}{col 15}{res}{space 2} 2.161715{col 27}{space 2} 1.313364{col 38}{space 1}    1.65{col 47}{space 3}0.100{col 55}{space 4}-.4124315{col 68}{space 3} 4.735861
{txt}{space 8}yr_37 {c |}{col 15}{res}{space 2}  .723926{col 27}{space 2} .9312365{col 38}{space 1}    0.78{col 47}{space 3}0.437{col 55}{space 4}-1.101264{col 68}{space 3} 2.549116
{txt}{space 8}yr_38 {c |}{col 15}{res}{space 2} .3101155{col 27}{space 2} 1.035974{col 38}{space 1}    0.30{col 47}{space 3}0.765{col 55}{space 4}-1.720356{col 68}{space 3} 2.340587
{txt}{space 8}yr_39 {c |}{col 15}{res}{space 2} 2.025429{col 27}{space 2} 1.236956{col 38}{space 1}    1.64{col 47}{space 3}0.102{col 55}{space 4} -.398959{col 68}{space 3} 4.449818
{txt}{space 8}yr_40 {c |}{col 15}{res}{space 2} 1.800875{col 27}{space 2} 1.022892{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4}-.2039564{col 68}{space 3} 3.805706
{txt}{space 8}yr_41 {c |}{col 15}{res}{space 2} 2.241405{col 27}{space 2}  .969676{col 38}{space 1}    2.31{col 47}{space 3}0.021{col 55}{space 4} .3408751{col 68}{space 3} 4.141935
{txt}{space 8}yr_42 {c |}{col 15}{res}{space 2} 2.325984{col 27}{space 2} .9721173{col 38}{space 1}    2.39{col 47}{space 3}0.017{col 55}{space 4} .4206688{col 68}{space 3} 4.231299
{txt}{space 8}yr_43 {c |}{col 15}{res}{space 2} 1.569992{col 27}{space 2} .8829568{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4} -.160571{col 68}{space 3} 3.300556
{txt}{space 8}yr_44 {c |}{col 15}{res}{space 2} .9009919{col 27}{space 2} 1.252133{col 38}{space 1}    0.72{col 47}{space 3}0.472{col 55}{space 4}-1.553144{col 68}{space 3} 3.355128
{txt}{space 8}yr_45 {c |}{col 15}{res}{space 2}  .956902{col 27}{space 2} 1.268024{col 38}{space 1}    0.75{col 47}{space 3}0.450{col 55}{space 4}-1.528379{col 68}{space 3} 3.442183
{txt}{space 8}yr_46 {c |}{col 15}{res}{space 2}  2.66831{col 27}{space 2} 2.509681{col 38}{space 1}    1.06{col 47}{space 3}0.288{col 55}{space 4}-2.250575{col 68}{space 3} 7.587194
{txt}{space 8}yr_47 {c |}{col 15}{res}{space 2}-1.379683{col 27}{space 2} 1.290211{col 38}{space 1}   -1.07{col 47}{space 3}0.285{col 55}{space 4} -3.90845{col 68}{space 3} 1.149084
{txt}{space 8}yr_48 {c |}{col 15}{res}{space 2} 1.386582{col 27}{space 2} 1.211506{col 38}{space 1}    1.14{col 47}{space 3}0.252{col 55}{space 4}-.9879253{col 68}{space 3}  3.76109
{txt}{space 8}yr_49 {c |}{col 15}{res}{space 2}-.1569784{col 27}{space 2} 1.345939{col 38}{space 1}   -0.12{col 47}{space 3}0.907{col 55}{space 4}-2.794971{col 68}{space 3} 2.481014
{txt}{space 8}yr_50 {c |}{col 15}{res}{space 2} 1.542174{col 27}{space 2} 1.394862{col 38}{space 1}    1.11{col 47}{space 3}0.269{col 55}{space 4}-1.191705{col 68}{space 3} 4.276053
{txt}{space 8}yr_51 {c |}{col 15}{res}{space 2} 1.388899{col 27}{space 2} 1.581309{col 38}{space 1}    0.88{col 47}{space 3}0.380{col 55}{space 4}-1.710408{col 68}{space 3} 4.488207
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} 2.596733{col 27}{space 2} 1.114636{col 38}{space 1}    2.33{col 47}{space 3}0.020{col 55}{space 4} .4120862{col 68}{space 3} 4.781381
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} 5.207657{col 27}{space 2} 1.242051{col 38}{space 1}    4.19{col 47}{space 3}0.000{col 55}{space 4} 2.773282{col 68}{space 3} 7.642031
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-2.067257{col 27}{space 2} 1.161599{col 38}{space 1}   -1.78{col 47}{space 3}0.075{col 55}{space 4}-4.343949{col 68}{space 3} .2094346
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} 2.190854{col 27}{space 2} 1.217428{col 38}{space 1}    1.80{col 47}{space 3}0.072{col 55}{space 4}-.1952609{col 68}{space 3} 4.576969
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2} .3338109{col 27}{space 2} 1.121607{col 38}{space 1}    0.30{col 47}{space 3}0.766{col 55}{space 4}-1.864499{col 68}{space 3} 2.532121
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} 2.629822{col 27}{space 2} 1.417661{col 38}{space 1}    1.86{col 47}{space 3}0.064{col 55}{space 4}-.1487421{col 68}{space 3} 5.408387
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.2591732{col 27}{space 2} 1.071879{col 38}{space 1}   -0.24{col 47}{space 3}0.809{col 55}{space 4}-2.360018{col 68}{space 3} 1.841672
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}-.9224151{col 27}{space 2} 1.080015{col 38}{space 1}   -0.85{col 47}{space 3}0.393{col 55}{space 4}-3.039206{col 68}{space 3} 1.194376
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2} .3417747{col 27}{space 2} 1.874822{col 38}{space 1}    0.18{col 47}{space 3}0.855{col 55}{space 4}-3.332808{col 68}{space 3} 4.016357
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2} .0685598{col 27}{space 2}  1.33841{col 38}{space 1}    0.05{col 47}{space 3}0.959{col 55}{space 4}-2.554675{col 68}{space 3} 2.691794
{txt}{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-24.89116{col 27}{space 2} 2.903807{col 38}{space 1}   -8.57{col 47}{space 3}0.000{col 55}{space 4}-30.58252{col 68}{space 3} -19.1998
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc LitPercent rgn_* yr_* , cluster(ccode) baseoutcome(0)

{txt}note: rgn_5 omitted because of collinearity
note: yr_62 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-6425.2239}  
Iteration 1:{space 3}log pseudolikelihood = {res: -2064.376}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1498.4849}  
Iteration 3:{space 3}log pseudolikelihood = {res:-895.68458}  
Iteration 4:{space 3}log pseudolikelihood = {res:-853.70642}  
Iteration 5:{space 3}log pseudolikelihood = {res:-849.52904}  
Iteration 6:{space 3}log pseudolikelihood = {res:-849.46007}  
Iteration 7:{space 3}log pseudolikelihood = {res:-849.45995}  
Iteration 8:{space 3}log pseudolikelihood = {res:-849.45995}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      6282
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(139)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-849.45995{txt}{col 51}Pseudo R2{col 67}= {res}    0.8678

{txt}{ralign 79:(Std. Err. adjusted for {res:149} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 5.878123{col 27}{space 2} .2617091{col 38}{space 1}   22.46{col 47}{space 3}0.000{col 55}{space 4} 5.365182{col 68}{space 3} 6.391063
{txt}{space 7}xconst {c |}{col 15}{res}{space 2}  .539641{col 27}{space 2} .0596465{col 38}{space 1}    9.05{col 47}{space 3}0.000{col 55}{space 4}  .422736{col 68}{space 3}  .656546
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.0997497{col 27}{space 2} .0719703{col 38}{space 1}   -1.39{col 47}{space 3}0.166{col 55}{space 4}-.2408089{col 68}{space 3} .0413096
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.2691136{col 27}{space 2} .1204415{col 38}{space 1}   -2.23{col 47}{space 3}0.025{col 55}{space 4}-.5051747{col 68}{space 3}-.0330526
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}-.0663858{col 27}{space 2} .1246782{col 38}{space 1}   -0.53{col 47}{space 3}0.594{col 55}{space 4}-.3107507{col 68}{space 3} .1779791
{txt}{space 3}LitPercent {c |}{col 15}{res}{space 2}-.0040411{col 27}{space 2} .0059674{col 38}{space 1}   -0.68{col 47}{space 3}0.498{col 55}{space 4}-.0157371{col 68}{space 3} .0076549
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2}-1.154606{col 27}{space 2} .3216455{col 38}{space 1}   -3.59{col 47}{space 3}0.000{col 55}{space 4} -1.78502{col 68}{space 3}-.5241924
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-2.825288{col 27}{space 2} .3234821{col 38}{space 1}   -8.73{col 47}{space 3}0.000{col 55}{space 4}-3.459301{col 68}{space 3}-2.191274
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-2.230542{col 27}{space 2} .3881511{col 38}{space 1}   -5.75{col 47}{space 3}0.000{col 55}{space 4}-2.991304{col 68}{space 3} -1.46978
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-3.155955{col 27}{space 2} .3521877{col 38}{space 1}   -8.96{col 47}{space 3}0.000{col 55}{space 4} -3.84623{col 68}{space 3}-2.465679
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2} 1.400278{col 27}{space 2} .9102208{col 38}{space 1}    1.54{col 47}{space 3}0.124{col 55}{space 4}-.3837219{col 68}{space 3} 3.184278
{txt}{space 9}yr_2 {c |}{col 15}{res}{space 2}-.7758262{col 27}{space 2} .5212893{col 38}{space 1}   -1.49{col 47}{space 3}0.137{col 55}{space 4}-1.797535{col 68}{space 3} .2458822
{txt}{space 9}yr_3 {c |}{col 15}{res}{space 2}-.6664975{col 27}{space 2} .5181269{col 38}{space 1}   -1.29{col 47}{space 3}0.198{col 55}{space 4}-1.682008{col 68}{space 3} .3490126
{txt}{space 9}yr_4 {c |}{col 15}{res}{space 2}-.6656913{col 27}{space 2} .5151265{col 38}{space 1}   -1.29{col 47}{space 3}0.196{col 55}{space 4}-1.675321{col 68}{space 3} .3439382
{txt}{space 9}yr_5 {c |}{col 15}{res}{space 2}-.5423629{col 27}{space 2} .5358252{col 38}{space 1}   -1.01{col 47}{space 3}0.311{col 55}{space 4}-1.592561{col 68}{space 3} .5078352
{txt}{space 9}yr_6 {c |}{col 15}{res}{space 2}-1.740987{col 27}{space 2} .8187369{col 38}{space 1}   -2.13{col 47}{space 3}0.033{col 55}{space 4}-3.345682{col 68}{space 3}-.1362921
{txt}{space 9}yr_7 {c |}{col 15}{res}{space 2}-.9877875{col 27}{space 2} .5240277{col 38}{space 1}   -1.88{col 47}{space 3}0.059{col 55}{space 4}-2.014863{col 68}{space 3}  .039288
{txt}{space 9}yr_8 {c |}{col 15}{res}{space 2} .6678593{col 27}{space 2} .7945619{col 38}{space 1}    0.84{col 47}{space 3}0.401{col 55}{space 4}-.8894534{col 68}{space 3} 2.225172
{txt}{space 9}yr_9 {c |}{col 15}{res}{space 2} .9669269{col 27}{space 2} .7181239{col 38}{space 1}    1.35{col 47}{space 3}0.178{col 55}{space 4}-.4405702{col 68}{space 3} 2.374424
{txt}{space 8}yr_10 {c |}{col 15}{res}{space 2}-.4883119{col 27}{space 2}  .477957{col 38}{space 1}   -1.02{col 47}{space 3}0.307{col 55}{space 4} -1.42509{col 68}{space 3} .4484667
{txt}{space 8}yr_11 {c |}{col 15}{res}{space 2}-1.236268{col 27}{space 2} .6510826{col 38}{space 1}   -1.90{col 47}{space 3}0.058{col 55}{space 4}-2.512367{col 68}{space 3} .0398304
{txt}{space 8}yr_12 {c |}{col 15}{res}{space 2}-1.458888{col 27}{space 2}  .921262{col 38}{space 1}   -1.58{col 47}{space 3}0.113{col 55}{space 4}-3.264528{col 68}{space 3} .3467527
{txt}{space 8}yr_13 {c |}{col 15}{res}{space 2}-.6479572{col 27}{space 2} .4476324{col 38}{space 1}   -1.45{col 47}{space 3}0.148{col 55}{space 4}-1.525301{col 68}{space 3} .2293863
{txt}{space 8}yr_14 {c |}{col 15}{res}{space 2}-1.308604{col 27}{space 2} .6116914{col 38}{space 1}   -2.14{col 47}{space 3}0.032{col 55}{space 4}-2.507497{col 68}{space 3}-.1097109
{txt}{space 8}yr_15 {c |}{col 15}{res}{space 2}-.7600342{col 27}{space 2} .4240998{col 38}{space 1}   -1.79{col 47}{space 3}0.073{col 55}{space 4}-1.591255{col 68}{space 3} .0711861
{txt}{space 8}yr_16 {c |}{col 15}{res}{space 2}-1.121295{col 27}{space 2}  .644776{col 38}{space 1}   -1.74{col 47}{space 3}0.082{col 55}{space 4}-2.385033{col 68}{space 3} .1424431
{txt}{space 8}yr_17 {c |}{col 15}{res}{space 2} .2480206{col 27}{space 2} .6085993{col 38}{space 1}    0.41{col 47}{space 3}0.684{col 55}{space 4}-.9448121{col 68}{space 3} 1.440853
{txt}{space 8}yr_18 {c |}{col 15}{res}{space 2}-.1470795{col 27}{space 2} .7764161{col 38}{space 1}   -0.19{col 47}{space 3}0.850{col 55}{space 4}-1.668827{col 68}{space 3} 1.374668
{txt}{space 8}yr_19 {c |}{col 15}{res}{space 2}-.1273672{col 27}{space 2} .4175304{col 38}{space 1}   -0.31{col 47}{space 3}0.760{col 55}{space 4}-.9457117{col 68}{space 3} .6909772
{txt}{space 8}yr_20 {c |}{col 15}{res}{space 2}-2.084463{col 27}{space 2}  .656204{col 38}{space 1}   -3.18{col 47}{space 3}0.001{col 55}{space 4}  -3.3706{col 68}{space 3}-.7983272
{txt}{space 8}yr_21 {c |}{col 15}{res}{space 2}-.4687215{col 27}{space 2} .8619735{col 38}{space 1}   -0.54{col 47}{space 3}0.587{col 55}{space 4}-2.158158{col 68}{space 3} 1.220716
{txt}{space 8}yr_22 {c |}{col 15}{res}{space 2} -.636794{col 27}{space 2} .5040162{col 38}{space 1}   -1.26{col 47}{space 3}0.206{col 55}{space 4}-1.624648{col 68}{space 3} .3510595
{txt}{space 8}yr_23 {c |}{col 15}{res}{space 2}-.6885606{col 27}{space 2} .6664291{col 38}{space 1}   -1.03{col 47}{space 3}0.302{col 55}{space 4}-1.994738{col 68}{space 3} .6176165
{txt}{space 8}yr_24 {c |}{col 15}{res}{space 2}-2.116886{col 27}{space 2} .6964236{col 38}{space 1}   -3.04{col 47}{space 3}0.002{col 55}{space 4}-3.481851{col 68}{space 3}-.7519209
{txt}{space 8}yr_25 {c |}{col 15}{res}{space 2}-1.129371{col 27}{space 2} .6765624{col 38}{space 1}   -1.67{col 47}{space 3}0.095{col 55}{space 4}-2.455409{col 68}{space 3} .1966665
{txt}{space 8}yr_26 {c |}{col 15}{res}{space 2}-1.338314{col 27}{space 2} .6665845{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-2.644796{col 68}{space 3}-.0318327
{txt}{space 8}yr_27 {c |}{col 15}{res}{space 2}  .125879{col 27}{space 2} .5667764{col 38}{space 1}    0.22{col 47}{space 3}0.824{col 55}{space 4}-.9849823{col 68}{space 3}  1.23674
{txt}{space 8}yr_28 {c |}{col 15}{res}{space 2}-.6610651{col 27}{space 2} .3832566{col 38}{space 1}   -1.72{col 47}{space 3}0.085{col 55}{space 4}-1.412234{col 68}{space 3}  .090104
{txt}{space 8}yr_29 {c |}{col 15}{res}{space 2} .1003162{col 27}{space 2} .8618672{col 38}{space 1}    0.12{col 47}{space 3}0.907{col 55}{space 4}-1.588913{col 68}{space 3} 1.789545
{txt}{space 8}yr_30 {c |}{col 15}{res}{space 2}-.2424504{col 27}{space 2} 1.012962{col 38}{space 1}   -0.24{col 47}{space 3}0.811{col 55}{space 4}-2.227819{col 68}{space 3} 1.742918
{txt}{space 8}yr_31 {c |}{col 15}{res}{space 2} -.610544{col 27}{space 2} .7591698{col 38}{space 1}   -0.80{col 47}{space 3}0.421{col 55}{space 4}-2.098489{col 68}{space 3} .8774014
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{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} 1.239597{col 27}{space 2} .5623722{col 38}{space 1}    2.20{col 47}{space 3}0.028{col 55}{space 4} .1373681{col 68}{space 3} 2.341826
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.1905936{col 27}{space 2} .6533893{col 38}{space 1}   -0.29{col 47}{space 3}0.771{col 55}{space 4}-1.471213{col 68}{space 3} 1.090026
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{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2}-1.473146{col 27}{space 2} 1.050424{col 38}{space 1}   -1.40{col 47}{space 3}0.161{col 55}{space 4}-3.531939{col 68}{space 3} .5856472
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2} .5810232{col 27}{space 2} .8910186{col 38}{space 1}    0.65{col 47}{space 3}0.514{col 55}{space 4}-1.165341{col 68}{space 3} 2.327388
{txt}{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
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{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 14.08594{col 27}{space 2}   .62549{col 38}{space 1}   22.52{col 47}{space 3}0.000{col 55}{space 4} 12.86001{col 68}{space 3} 15.31188
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.060275{col 27}{space 2} .1187817{col 38}{space 1}    8.93{col 47}{space 3}0.000{col 55}{space 4} .8274667{col 68}{space 3} 1.293082
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.2911042{col 27}{space 2} .1383952{col 38}{space 1}   -2.10{col 47}{space 3}0.035{col 55}{space 4}-.5623538{col 68}{space 3}-.0198547
{txt}{space 7}inttot {c |}{col 15}{res}{space 2} .0862128{col 27}{space 2} .1897528{col 38}{space 1}    0.45{col 47}{space 3}0.650{col 55}{space 4}-.2856959{col 68}{space 3} .4581214
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .9027316{col 27}{space 2} .2678473{col 38}{space 1}    3.37{col 47}{space 3}0.001{col 55}{space 4} .3777605{col 68}{space 3} 1.427703
{txt}{space 3}LitPercent {c |}{col 15}{res}{space 2}-.0237518{col 27}{space 2} .0109315{col 38}{space 1}   -2.17{col 47}{space 3}0.030{col 55}{space 4}-.0451772{col 68}{space 3}-.0023264
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2}-1.382056{col 27}{space 2}  .585477{col 38}{space 1}   -2.36{col 47}{space 3}0.018{col 55}{space 4} -2.52957{col 68}{space 3} -.234542
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-2.705184{col 27}{space 2} .5897973{col 38}{space 1}   -4.59{col 47}{space 3}0.000{col 55}{space 4}-3.861166{col 68}{space 3}-1.549203
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-1.794401{col 27}{space 2} .7290666{col 38}{space 1}   -2.46{col 47}{space 3}0.014{col 55}{space 4}-3.223345{col 68}{space 3}-.3654566
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{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
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{txt}{space 9}yr_2 {c |}{col 15}{res}{space 2} 2.446264{col 27}{space 2} 1.311613{col 38}{space 1}    1.87{col 47}{space 3}0.062{col 55}{space 4}-.1244508{col 68}{space 3}  5.01698
{txt}{space 9}yr_3 {c |}{col 15}{res}{space 2} 2.550402{col 27}{space 2} 1.308855{col 38}{space 1}    1.95{col 47}{space 3}0.051{col 55}{space 4} -.014907{col 68}{space 3} 5.115711
{txt}{space 9}yr_4 {c |}{col 15}{res}{space 2} 2.493412{col 27}{space 2} 1.305587{col 38}{space 1}    1.91{col 47}{space 3}0.056{col 55}{space 4} -.065492{col 68}{space 3} 5.052315
{txt}{space 9}yr_5 {c |}{col 15}{res}{space 2} 2.582363{col 27}{space 2} 1.315067{col 38}{space 1}    1.96{col 47}{space 3}0.050{col 55}{space 4} .0048798{col 68}{space 3} 5.159846
{txt}{space 9}yr_6 {c |}{col 15}{res}{space 2} 1.351351{col 27}{space 2} 1.409467{col 38}{space 1}    0.96{col 47}{space 3}0.338{col 55}{space 4}-1.411153{col 68}{space 3} 4.113855
{txt}{space 9}yr_7 {c |}{col 15}{res}{space 2} 2.073632{col 27}{space 2} 1.281373{col 38}{space 1}    1.62{col 47}{space 3}0.106{col 55}{space 4} -.437812{col 68}{space 3} 4.585077
{txt}{space 9}yr_8 {c |}{col 15}{res}{space 2} 5.678059{col 27}{space 2} 2.122633{col 38}{space 1}    2.68{col 47}{space 3}0.007{col 55}{space 4} 1.517774{col 68}{space 3} 9.838345
{txt}{space 9}yr_9 {c |}{col 15}{res}{space 2} 4.308005{col 27}{space 2} 1.397077{col 38}{space 1}    3.08{col 47}{space 3}0.002{col 55}{space 4} 1.569784{col 68}{space 3} 7.046226
{txt}{space 8}yr_10 {c |}{col 15}{res}{space 2} 2.778692{col 27}{space 2} 1.261273{col 38}{space 1}    2.20{col 47}{space 3}0.028{col 55}{space 4} .3066424{col 68}{space 3} 5.250742
{txt}{space 8}yr_11 {c |}{col 15}{res}{space 2} .6975885{col 27}{space 2} 1.439313{col 38}{space 1}    0.48{col 47}{space 3}0.628{col 55}{space 4}-2.123414{col 68}{space 3} 3.518591
{txt}{space 8}yr_12 {c |}{col 15}{res}{space 2} 1.452171{col 27}{space 2} 1.513921{col 38}{space 1}    0.96{col 47}{space 3}0.337{col 55}{space 4}-1.515059{col 68}{space 3} 4.419401
{txt}{space 8}yr_13 {c |}{col 15}{res}{space 2} .9657596{col 27}{space 2} 1.432227{col 38}{space 1}    0.67{col 47}{space 3}0.500{col 55}{space 4}-1.841353{col 68}{space 3} 3.772873
{txt}{space 8}yr_14 {c |}{col 15}{res}{space 2} 1.597448{col 27}{space 2} 1.260314{col 38}{space 1}    1.27{col 47}{space 3}0.205{col 55}{space 4}-.8727228{col 68}{space 3} 4.067618
{txt}{space 8}yr_15 {c |}{col 15}{res}{space 2} 2.080669{col 27}{space 2} 1.191957{col 38}{space 1}    1.75{col 47}{space 3}0.081{col 55}{space 4}-.2555236{col 68}{space 3} 4.416862
{txt}{space 8}yr_16 {c |}{col 15}{res}{space 2} 1.675531{col 27}{space 2} 1.285845{col 38}{space 1}    1.30{col 47}{space 3}0.193{col 55}{space 4}-.8446784{col 68}{space 3} 4.195741
{txt}{space 8}yr_17 {c |}{col 15}{res}{space 2} 3.285103{col 27}{space 2} 1.251551{col 38}{space 1}    2.62{col 47}{space 3}0.009{col 55}{space 4}  .832109{col 68}{space 3} 5.738097
{txt}{space 8}yr_18 {c |}{col 15}{res}{space 2} 2.999315{col 27}{space 2}  1.36057{col 38}{space 1}    2.20{col 47}{space 3}0.027{col 55}{space 4} .3326455{col 68}{space 3} 5.665984
{txt}{space 8}yr_19 {c |}{col 15}{res}{space 2} 1.296676{col 27}{space 2} 1.470625{col 38}{space 1}    0.88{col 47}{space 3}0.378{col 55}{space 4}-1.585696{col 68}{space 3} 4.179049
{txt}{space 8}yr_20 {c |}{col 15}{res}{space 2} .9333623{col 27}{space 2} 1.274435{col 38}{space 1}    0.73{col 47}{space 3}0.464{col 55}{space 4}-1.564484{col 68}{space 3} 3.431209
{txt}{space 8}yr_21 {c |}{col 15}{res}{space 2}  1.32135{col 27}{space 2} 1.669749{col 38}{space 1}    0.79{col 47}{space 3}0.429{col 55}{space 4}-1.951299{col 68}{space 3} 4.593999
{txt}{space 8}yr_22 {c |}{col 15}{res}{space 2} 2.371961{col 27}{space 2} 1.225438{col 38}{space 1}    1.94{col 47}{space 3}0.053{col 55}{space 4} -.029853{col 68}{space 3} 4.773775
{txt}{space 8}yr_23 {c |}{col 15}{res}{space 2} .7146314{col 27}{space 2}  1.46785{col 38}{space 1}    0.49{col 47}{space 3}0.626{col 55}{space 4}-2.162302{col 68}{space 3} 3.591564
{txt}{space 8}yr_24 {c |}{col 15}{res}{space 2}-.9043886{col 27}{space 2} 1.502056{col 38}{space 1}   -0.60{col 47}{space 3}0.547{col 55}{space 4}-3.848365{col 68}{space 3} 2.039588
{txt}{space 8}yr_25 {c |}{col 15}{res}{space 2} 1.293234{col 27}{space 2} 1.251847{col 38}{space 1}    1.03{col 47}{space 3}0.302{col 55}{space 4} -1.16034{col 68}{space 3} 3.746808
{txt}{space 8}yr_26 {c |}{col 15}{res}{space 2} 1.163945{col 27}{space 2} 1.229943{col 38}{space 1}    0.95{col 47}{space 3}0.344{col 55}{space 4}  -1.2467{col 68}{space 3} 3.574589
{txt}{space 8}yr_27 {c |}{col 15}{res}{space 2}  2.58065{col 27}{space 2} 1.190055{col 38}{space 1}    2.17{col 47}{space 3}0.030{col 55}{space 4} .2481845{col 68}{space 3} 4.913115
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{txt}{space 8}yr_29 {c |}{col 15}{res}{space 2} 4.390546{col 27}{space 2} 1.804522{col 38}{space 1}    2.43{col 47}{space 3}0.015{col 55}{space 4} .8537486{col 68}{space 3} 7.927344
{txt}{space 8}yr_30 {c |}{col 15}{res}{space 2} 3.668848{col 27}{space 2} 2.119434{col 38}{space 1}    1.73{col 47}{space 3}0.083{col 55}{space 4}-.4851663{col 68}{space 3} 7.822862
{txt}{space 8}yr_31 {c |}{col 15}{res}{space 2}  3.36668{col 27}{space 2} 1.684476{col 38}{space 1}    2.00{col 47}{space 3}0.046{col 55}{space 4} .0651679{col 68}{space 3} 6.668193
{txt}{space 8}yr_32 {c |}{col 15}{res}{space 2} 3.109226{col 27}{space 2} 1.259093{col 38}{space 1}    2.47{col 47}{space 3}0.014{col 55}{space 4} .6414488{col 68}{space 3} 5.577004
{txt}{space 8}yr_33 {c |}{col 15}{res}{space 2}-.1714544{col 27}{space 2} 1.627048{col 38}{space 1}   -0.11{col 47}{space 3}0.916{col 55}{space 4} -3.36041{col 68}{space 3} 3.017501
{txt}{space 8}yr_34 {c |}{col 15}{res}{space 2} 1.571579{col 27}{space 2} 1.149432{col 38}{space 1}    1.37{col 47}{space 3}0.172{col 55}{space 4} -.681266{col 68}{space 3} 3.824423
{txt}{space 8}yr_35 {c |}{col 15}{res}{space 2} 2.910147{col 27}{space 2} 1.230494{col 38}{space 1}    2.37{col 47}{space 3}0.018{col 55}{space 4} .4984233{col 68}{space 3}  5.32187
{txt}{space 8}yr_36 {c |}{col 15}{res}{space 2} 3.633447{col 27}{space 2} 1.644066{col 38}{space 1}    2.21{col 47}{space 3}0.027{col 55}{space 4} .4111379{col 68}{space 3} 6.855757
{txt}{space 8}yr_37 {c |}{col 15}{res}{space 2}  1.87831{col 27}{space 2} 1.156919{col 38}{space 1}    1.62{col 47}{space 3}0.104{col 55}{space 4}-.3892101{col 68}{space 3} 4.145831
{txt}{space 8}yr_38 {c |}{col 15}{res}{space 2} 1.442304{col 27}{space 2} 1.275231{col 38}{space 1}    1.13{col 47}{space 3}0.258{col 55}{space 4}-1.057103{col 68}{space 3}  3.94171
{txt}{space 8}yr_39 {c |}{col 15}{res}{space 2} 3.410326{col 27}{space 2} 1.413308{col 38}{space 1}    2.41{col 47}{space 3}0.016{col 55}{space 4} .6402922{col 68}{space 3} 6.180359
{txt}{space 8}yr_40 {c |}{col 15}{res}{space 2} 2.933083{col 27}{space 2} 1.220386{col 38}{space 1}    2.40{col 47}{space 3}0.016{col 55}{space 4} .5411702{col 68}{space 3} 5.324995
{txt}{space 8}yr_41 {c |}{col 15}{res}{space 2} 3.426793{col 27}{space 2} 1.168859{col 38}{space 1}    2.93{col 47}{space 3}0.003{col 55}{space 4} 1.135871{col 68}{space 3} 5.717715
{txt}{space 8}yr_42 {c |}{col 15}{res}{space 2}  3.55106{col 27}{space 2} 1.149037{col 38}{space 1}    3.09{col 47}{space 3}0.002{col 55}{space 4} 1.298989{col 68}{space 3} 5.803131
{txt}{space 8}yr_43 {c |}{col 15}{res}{space 2}  2.83022{col 27}{space 2}  1.13521{col 38}{space 1}    2.49{col 47}{space 3}0.013{col 55}{space 4}  .605249{col 68}{space 3} 5.055191
{txt}{space 8}yr_44 {c |}{col 15}{res}{space 2} 2.007679{col 27}{space 2} 1.459631{col 38}{space 1}    1.38{col 47}{space 3}0.169{col 55}{space 4}-.8531461{col 68}{space 3} 4.868504
{txt}{space 8}yr_45 {c |}{col 15}{res}{space 2} 2.093249{col 27}{space 2} 1.490213{col 38}{space 1}    1.40{col 47}{space 3}0.160{col 55}{space 4}-.8275153{col 68}{space 3} 5.014014
{txt}{space 8}yr_46 {c |}{col 15}{res}{space 2} 2.735387{col 27}{space 2} 2.619617{col 38}{space 1}    1.04{col 47}{space 3}0.296{col 55}{space 4}-2.398969{col 68}{space 3} 7.869742
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{txt}{space 8}yr_48 {c |}{col 15}{res}{space 2} 2.714145{col 27}{space 2} 1.326895{col 38}{space 1}    2.05{col 47}{space 3}0.041{col 55}{space 4} .1134785{col 68}{space 3} 5.314811
{txt}{space 8}yr_49 {c |}{col 15}{res}{space 2} .8543568{col 27}{space 2} 1.546929{col 38}{space 1}    0.55{col 47}{space 3}0.581{col 55}{space 4}-2.177569{col 68}{space 3} 3.886282
{txt}{space 8}yr_50 {c |}{col 15}{res}{space 2} 2.969919{col 27}{space 2} 1.690796{col 38}{space 1}    1.76{col 47}{space 3}0.079{col 55}{space 4}-.3439804{col 68}{space 3} 6.283818
{txt}{space 8}yr_51 {c |}{col 15}{res}{space 2} 2.660228{col 27}{space 2} 2.026627{col 38}{space 1}    1.31{col 47}{space 3}0.189{col 55}{space 4}-1.311887{col 68}{space 3} 6.632344
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2}  4.02743{col 27}{space 2} 1.353892{col 38}{space 1}    2.97{col 47}{space 3}0.003{col 55}{space 4} 1.373851{col 68}{space 3} 6.681009
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} 6.823579{col 27}{space 2} 1.502464{col 38}{space 1}    4.54{col 47}{space 3}0.000{col 55}{space 4} 3.878803{col 68}{space 3} 9.768355
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-1.115153{col 27}{space 2} 1.344891{col 38}{space 1}   -0.83{col 47}{space 3}0.407{col 55}{space 4} -3.75109{col 68}{space 3} 1.520785
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2}  3.69696{col 27}{space 2} 1.508111{col 38}{space 1}    2.45{col 47}{space 3}0.014{col 55}{space 4} .7411177{col 68}{space 3} 6.652803
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2} 1.434434{col 27}{space 2} 1.344219{col 38}{space 1}    1.07{col 47}{space 3}0.286{col 55}{space 4}-1.200187{col 68}{space 3} 4.069055
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} 3.309669{col 27}{space 2} 1.698988{col 38}{space 1}    1.95{col 47}{space 3}0.051{col 55}{space 4}-.0202865{col 68}{space 3} 6.639624
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}  .776846{col 27}{space 2} 1.398001{col 38}{space 1}    0.56{col 47}{space 3}0.578{col 55}{space 4}-1.963185{col 68}{space 3} 3.516877
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2} .6526323{col 27}{space 2} 1.390614{col 38}{space 1}    0.47{col 47}{space 3}0.639{col 55}{space 4}-2.072922{col 68}{space 3} 3.378186
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2} 2.862834{col 27}{space 2} 1.795551{col 38}{space 1}    1.59{col 47}{space 3}0.111{col 55}{space 4}-.6563813{col 68}{space 3} 6.382049
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2} 2.240031{col 27}{space 2} 1.382021{col 38}{space 1}    1.62{col 47}{space 3}0.105{col 55}{space 4}-.4686803{col 68}{space 3} 4.948743
{txt}{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-26.68226{col 27}{space 2} 3.303975{col 38}{space 1}   -8.08{col 47}{space 3}0.000{col 55}{space 4}-33.15793{col 68}{space 3}-20.20659
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot   Lrgdpe_pc internet Lnoil1 rgn_* yr_*  , cluster(ccode) baseoutcome(0)

{txt}note: rgn_5 omitted because of collinearity
note: yr_1 omitted because of collinearity
note: yr_2 omitted because of collinearity
note: yr_3 omitted because of collinearity
note: yr_4 omitted because of collinearity
note: yr_5 omitted because of collinearity
note: yr_6 omitted because of collinearity
note: yr_7 omitted because of collinearity
note: yr_8 omitted because of collinearity
note: yr_9 omitted because of collinearity
note: yr_10 omitted because of collinearity
note: yr_11 omitted because of collinearity
note: yr_12 omitted because of collinearity
note: yr_13 omitted because of collinearity
note: yr_14 omitted because of collinearity
note: yr_15 omitted because of collinearity
note: yr_16 omitted because of collinearity
note: yr_17 omitted because of collinearity
note: yr_18 omitted because of collinearity
note: yr_19 omitted because of collinearity
note: yr_20 omitted because of collinearity
note: yr_21 omitted because of collinearity
note: yr_22 omitted because of collinearity
note: yr_23 omitted because of collinearity
note: yr_24 omitted because of collinearity
note: yr_25 omitted because of collinearity
note: yr_26 omitted because of collinearity
note: yr_27 omitted because of collinearity
note: yr_28 omitted because of collinearity
note: yr_29 omitted because of collinearity
note: yr_30 omitted because of collinearity
note: yr_31 omitted because of collinearity
note: yr_32 omitted because of collinearity
note: yr_33 omitted because of collinearity
note: yr_34 omitted because of collinearity
note: yr_35 omitted because of collinearity
note: yr_36 omitted because of collinearity
note: yr_37 omitted because of collinearity
note: yr_38 omitted because of collinearity
note: yr_39 omitted because of collinearity
note: yr_40 omitted because of collinearity
note: yr_41 omitted because of collinearity
note: yr_42 omitted because of collinearity
note: yr_43 omitted because of collinearity
note: yr_44 omitted because of collinearity
note: yr_45 omitted because of collinearity
note: yr_46 omitted because of collinearity
note: yr_47 omitted because of collinearity
note: yr_48 omitted because of collinearity
note: yr_49 omitted because of collinearity
note: yr_50 omitted because of collinearity
note: yr_61 omitted because of collinearity
note: yr_62 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1693.0206}  
Iteration 1:{space 3}log pseudolikelihood = {res: -519.6002}  
Iteration 2:{space 3}log pseudolikelihood = {res:-335.55665}  
Iteration 3:{space 3}log pseudolikelihood = {res:-278.43936}  
Iteration 4:{space 3}log pseudolikelihood = {res:-274.67916}  
Iteration 5:{space 3}log pseudolikelihood = {res: -274.5364}  
Iteration 6:{space 3}log pseudolikelihood = {res:-274.53615}  
Iteration 7:{space 3}log pseudolikelihood = {res:-274.53615}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      1545
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(41)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-274.53615{txt}{col 51}Pseudo R2{col 67}= {res}    0.8378

{txt}{ralign 79:(Std. Err. adjusted for {res:147} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 5.484707{col 27}{space 2}  .351527{col 38}{space 1}   15.60{col 47}{space 3}0.000{col 55}{space 4} 4.795727{col 68}{space 3} 6.173688
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .7483041{col 27}{space 2} .0991173{col 38}{space 1}    7.55{col 47}{space 3}0.000{col 55}{space 4} .5540377{col 68}{space 3} .9425705
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.1884193{col 27}{space 2} .0822845{col 38}{space 1}   -2.29{col 47}{space 3}0.022{col 55}{space 4} -.349694{col 68}{space 3}-.0271447
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.0678535{col 27}{space 2} .2633986{col 38}{space 1}   -0.26{col 47}{space 3}0.797{col 55}{space 4}-.5841052{col 68}{space 3} .4483983
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}  .177231{col 27}{space 2} .1805056{col 38}{space 1}    0.98{col 47}{space 3}0.326{col 55}{space 4}-.1765535{col 68}{space 3} .5310155
{txt}{space 5}internet {c |}{col 15}{res}{space 2}-.0151629{col 27}{space 2} .0163169{col 38}{space 1}   -0.93{col 47}{space 3}0.353{col 55}{space 4}-.0471435{col 68}{space 3} .0168177
{txt}{space 7}Lnoil1 {c |}{col 15}{res}{space 2}-.0867646{col 27}{space 2} .0989164{col 38}{space 1}   -0.88{col 47}{space 3}0.380{col 55}{space 4}-.2806373{col 68}{space 3} .1071081
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2}-.8182458{col 27}{space 2} .5288566{col 38}{space 1}   -1.55{col 47}{space 3}0.122{col 55}{space 4}-1.854786{col 68}{space 3} .2182941
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-.9001331{col 27}{space 2}  .637944{col 38}{space 1}   -1.41{col 47}{space 3}0.158{col 55}{space 4} -2.15048{col 68}{space 3} .3502142
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2} .0053029{col 27}{space 2} .4252188{col 38}{space 1}    0.01{col 47}{space 3}0.990{col 55}{space 4}-.8281107{col 68}{space 3} .8387165
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-.9833624{col 27}{space 2} .3761695{col 38}{space 1}   -2.61{col 47}{space 3}0.009{col 55}{space 4}-1.720641{col 68}{space 3}-.2460837
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_2 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_3 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_4 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_6 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_7 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_8 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_9 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_10 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_11 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_12 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_13 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_14 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_15 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_16 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_17 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_18 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_19 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_20 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_21 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_22 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_23 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_24 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_25 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_26 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_27 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_28 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_29 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_30 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_31 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_32 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_33 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_34 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_35 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_36 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_37 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_38 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_39 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_40 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_41 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_42 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_43 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_44 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_45 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_46 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_47 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_48 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_49 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_50 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_51 {c |}{col 15}{res}{space 2}-.1491068{col 27}{space 2} .7505366{col 38}{space 1}   -0.20{col 47}{space 3}0.843{col 55}{space 4}-1.620131{col 68}{space 3} 1.321918
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} .4045833{col 27}{space 2} .7091035{col 38}{space 1}    0.57{col 47}{space 3}0.568{col 55}{space 4} -.985234{col 68}{space 3} 1.794401
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} .4028502{col 27}{space 2} .9033829{col 38}{space 1}    0.45{col 47}{space 3}0.656{col 55}{space 4}-1.367748{col 68}{space 3} 2.173448
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-.9939466{col 27}{space 2} .9434083{col 38}{space 1}   -1.05{col 47}{space 3}0.292{col 55}{space 4}-2.842993{col 68}{space 3} .8550996
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} .2781135{col 27}{space 2} .8054245{col 38}{space 1}    0.35{col 47}{space 3}0.730{col 55}{space 4} -1.30049{col 68}{space 3} 1.856716
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2}-.1056444{col 27}{space 2}  .694976{col 38}{space 1}   -0.15{col 47}{space 3}0.879{col 55}{space 4}-1.467772{col 68}{space 3} 1.256483
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} .8292502{col 27}{space 2} .8353743{col 38}{space 1}    0.99{col 47}{space 3}0.321{col 55}{space 4}-.8080534{col 68}{space 3} 2.466554
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.5126482{col 27}{space 2} .9614736{col 38}{space 1}   -0.53{col 47}{space 3}0.594{col 55}{space 4}-2.397102{col 68}{space 3} 1.371805
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}-.4695235{col 27}{space 2} .7242599{col 38}{space 1}   -0.65{col 47}{space 3}0.517{col 55}{space 4}-1.889047{col 68}{space 3} .9499998
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2}-.4486109{col 27}{space 2} .8313739{col 38}{space 1}   -0.54{col 47}{space 3}0.589{col 55}{space 4}-2.078074{col 68}{space 3} 1.180852
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-6.503467{col 27}{space 2} 1.640144{col 38}{space 1}   -3.97{col 47}{space 3}0.000{col 55}{space 4}-9.718091{col 68}{space 3}-3.288843
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 12.00523{col 27}{space 2} .6226965{col 38}{space 1}   19.28{col 47}{space 3}0.000{col 55}{space 4} 10.78476{col 68}{space 3} 13.22569
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.204516{col 27}{space 2} .3227888{col 38}{space 1}    3.73{col 47}{space 3}0.000{col 55}{space 4} .5718611{col 68}{space 3}  1.83717
{txt}{space 7}civtot {c |}{col 15}{res}{space 2} .2613111{col 27}{space 2} .1950619{col 38}{space 1}    1.34{col 47}{space 3}0.180{col 55}{space 4}-.1210031{col 68}{space 3} .6436254
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.0829582{col 27}{space 2} .4308441{col 38}{space 1}   -0.19{col 47}{space 3}0.847{col 55}{space 4}-.9273971{col 68}{space 3} .7614807
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .9362524{col 27}{space 2} .4375113{col 38}{space 1}    2.14{col 47}{space 3}0.032{col 55}{space 4}  .078746{col 68}{space 3} 1.793759
{txt}{space 5}internet {c |}{col 15}{res}{space 2} .0640305{col 27}{space 2} .0242215{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .0165572{col 68}{space 3} .1115038
{txt}{space 7}Lnoil1 {c |}{col 15}{res}{space 2}-.6787605{col 27}{space 2} .1584334{col 38}{space 1}   -4.28{col 47}{space 3}0.000{col 55}{space 4}-.9892843{col 68}{space 3}-.3682368
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2}-1.444721{col 27}{space 2} .8172809{col 38}{space 1}   -1.77{col 47}{space 3}0.077{col 55}{space 4}-3.046562{col 68}{space 3}   .15712
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-2.758283{col 27}{space 2} .8157439{col 38}{space 1}   -3.38{col 47}{space 3}0.001{col 55}{space 4}-4.357111{col 68}{space 3}-1.159454
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2} 1.302581{col 27}{space 2} .6833582{col 38}{space 1}    1.91{col 47}{space 3}0.057{col 55}{space 4}-.0367763{col 68}{space 3} 2.641939
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-4.302649{col 27}{space 2}  1.01251{col 38}{space 1}   -4.25{col 47}{space 3}0.000{col 55}{space 4}-6.287132{col 68}{space 3}-2.318165
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_2 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_3 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_4 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_6 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_7 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_8 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_9 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_10 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_11 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_12 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_13 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_14 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_15 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_16 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_17 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_18 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_19 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_20 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_21 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_22 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_23 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_24 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_25 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_26 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_27 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_28 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_29 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_30 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_31 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_32 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_33 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_34 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_35 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_36 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_37 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_38 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_39 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_40 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_41 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_42 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_43 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_44 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_45 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_46 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_47 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_48 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_49 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_50 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_51 {c |}{col 15}{res}{space 2} 2.607883{col 27}{space 2} 1.228627{col 38}{space 1}    2.12{col 47}{space 3}0.034{col 55}{space 4} .1998189{col 68}{space 3} 5.015947
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} 3.761397{col 27}{space 2} 1.075109{col 38}{space 1}    3.50{col 47}{space 3}0.000{col 55}{space 4} 1.654222{col 68}{space 3} 5.868572
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} 6.368115{col 27}{space 2} 1.244619{col 38}{space 1}    5.12{col 47}{space 3}0.000{col 55}{space 4} 3.928706{col 68}{space 3} 8.807524
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-.1415321{col 27}{space 2} 1.273574{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-2.637691{col 68}{space 3} 2.354627
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2}  3.39206{col 27}{space 2} 1.210246{col 38}{space 1}    2.80{col 47}{space 3}0.005{col 55}{space 4} 1.020021{col 68}{space 3} 5.764099
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2} 1.550503{col 27}{space 2} 1.111086{col 38}{space 1}    1.40{col 47}{space 3}0.163{col 55}{space 4}-.6271851{col 68}{space 3}  3.72819
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} 3.452725{col 27}{space 2} 1.359007{col 38}{space 1}    2.54{col 47}{space 3}0.011{col 55}{space 4} .7891189{col 68}{space 3}  6.11633
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2} .6054006{col 27}{space 2} 1.235181{col 38}{space 1}    0.49{col 47}{space 3}0.624{col 55}{space 4}-1.815509{col 68}{space 3}  3.02631
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}-.4071948{col 27}{space 2} 1.188891{col 38}{space 1}   -0.34{col 47}{space 3}0.732{col 55}{space 4}-2.737378{col 68}{space 3} 1.922988
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2} .3644702{col 27}{space 2} 1.457001{col 38}{space 1}    0.25{col 47}{space 3}0.802{col 55}{space 4}  -2.4912{col 68}{space 3}  3.22014
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-30.12105{col 27}{space 2} 3.971074{col 38}{space 1}   -7.59{col 47}{space 3}0.000{col 55}{space 4}-37.90421{col 68}{space 3}-22.33789
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc LitPercent internet Lnoil1 rgn_* yr_* , cluster(ccode) baseoutcome(0)

{txt}note: rgn_5 omitted because of collinearity
note: yr_1 omitted because of collinearity
note: yr_2 omitted because of collinearity
note: yr_3 omitted because of collinearity
note: yr_4 omitted because of collinearity
note: yr_5 omitted because of collinearity
note: yr_6 omitted because of collinearity
note: yr_7 omitted because of collinearity
note: yr_8 omitted because of collinearity
note: yr_9 omitted because of collinearity
note: yr_10 omitted because of collinearity
note: yr_11 omitted because of collinearity
note: yr_12 omitted because of collinearity
note: yr_13 omitted because of collinearity
note: yr_14 omitted because of collinearity
note: yr_15 omitted because of collinearity
note: yr_16 omitted because of collinearity
note: yr_17 omitted because of collinearity
note: yr_18 omitted because of collinearity
note: yr_19 omitted because of collinearity
note: yr_20 omitted because of collinearity
note: yr_21 omitted because of collinearity
note: yr_22 omitted because of collinearity
note: yr_23 omitted because of collinearity
note: yr_24 omitted because of collinearity
note: yr_25 omitted because of collinearity
note: yr_26 omitted because of collinearity
note: yr_27 omitted because of collinearity
note: yr_28 omitted because of collinearity
note: yr_29 omitted because of collinearity
note: yr_30 omitted because of collinearity
note: yr_31 omitted because of collinearity
note: yr_32 omitted because of collinearity
note: yr_33 omitted because of collinearity
note: yr_34 omitted because of collinearity
note: yr_35 omitted because of collinearity
note: yr_36 omitted because of collinearity
note: yr_37 omitted because of collinearity
note: yr_38 omitted because of collinearity
note: yr_39 omitted because of collinearity
note: yr_40 omitted because of collinearity
note: yr_41 omitted because of collinearity
note: yr_42 omitted because of collinearity
note: yr_43 omitted because of collinearity
note: yr_44 omitted because of collinearity
note: yr_45 omitted because of collinearity
note: yr_46 omitted because of collinearity
note: yr_47 omitted because of collinearity
note: yr_48 omitted because of collinearity
note: yr_49 omitted because of collinearity
note: yr_50 omitted because of collinearity
note: yr_61 omitted because of collinearity
note: yr_62 omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1322.1378}  
Iteration 1:{space 3}log pseudolikelihood = {res:-409.79973}  
Iteration 2:{space 3}log pseudolikelihood = {res:-270.62166}  
Iteration 3:{space 3}log pseudolikelihood = {res:-222.27509}  
Iteration 4:{space 3}log pseudolikelihood = {res: -218.8461}  
Iteration 5:{space 3}log pseudolikelihood = {res:-218.68329}  
Iteration 6:{space 3}log pseudolikelihood = {res:-218.68086}  
Iteration 7:{space 3}log pseudolikelihood = {res:-218.68038}  
Iteration 8:{space 3}log pseudolikelihood = {res:-218.68028}  
Iteration 9:{space 3}log pseudolikelihood = {res:-218.68025}  
Iteration 10:{space 2}log pseudolikelihood = {res:-218.68025}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      1209
{txt}{col 51}{help j_robustsingular##|_new:Wald chi2(42)}{col 67}=          {res}.
{txt}{col 51}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-218.68025{txt}{col 51}Pseudo R2{col 67}= {res}    0.8346

{txt}{ralign 79:(Std. Err. adjusted for {res:146} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 5.259789{col 27}{space 2} .3945173{col 38}{space 1}   13.33{col 47}{space 3}0.000{col 55}{space 4} 4.486549{col 68}{space 3} 6.033029
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .7429762{col 27}{space 2} .1107916{col 38}{space 1}    6.71{col 47}{space 3}0.000{col 55}{space 4} .5258286{col 68}{space 3} .9601237
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.1439452{col 27}{space 2} .0872632{col 38}{space 1}   -1.65{col 47}{space 3}0.099{col 55}{space 4}-.3149779{col 68}{space 3} .0270875
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.0392055{col 27}{space 2} .2911568{col 38}{space 1}   -0.13{col 47}{space 3}0.893{col 55}{space 4}-.6098625{col 68}{space 3} .5314514
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .2877575{col 27}{space 2}  .241857{col 38}{space 1}    1.19{col 47}{space 3}0.234{col 55}{space 4}-.1862736{col 68}{space 3} .7617886
{txt}{space 3}LitPercent {c |}{col 15}{res}{space 2}-.0099509{col 27}{space 2}  .012113{col 38}{space 1}   -0.82{col 47}{space 3}0.411{col 55}{space 4}-.0336919{col 68}{space 3} .0137901
{txt}{space 5}internet {c |}{col 15}{res}{space 2} -.010595{col 27}{space 2} .0184561{col 38}{space 1}   -0.57{col 47}{space 3}0.566{col 55}{space 4}-.0467683{col 68}{space 3} .0255784
{txt}{space 7}Lnoil1 {c |}{col 15}{res}{space 2} -.101431{col 27}{space 2} .1039939{col 38}{space 1}   -0.98{col 47}{space 3}0.329{col 55}{space 4}-.3052554{col 68}{space 3} .1023933
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2}-14.37467{col 27}{space 2} 1.154401{col 38}{space 1}  -12.45{col 47}{space 3}0.000{col 55}{space 4}-16.63725{col 68}{space 3}-12.11208
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-14.69532{col 27}{space 2} 1.177972{col 38}{space 1}  -12.48{col 47}{space 3}0.000{col 55}{space 4} -17.0041{col 68}{space 3}-12.38654
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}  -13.919{col 27}{space 2} 1.175249{col 38}{space 1}  -11.84{col 47}{space 3}0.000{col 55}{space 4}-16.22245{col 68}{space 3}-11.61556
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-15.03594{col 27}{space 2} 1.092997{col 38}{space 1}  -13.76{col 47}{space 3}0.000{col 55}{space 4}-17.17817{col 68}{space 3} -12.8937
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_2 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_3 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_4 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_6 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_7 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_8 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_9 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_10 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_11 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_12 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_13 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_14 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_15 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_16 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_17 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_18 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_19 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_20 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_21 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_22 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_23 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_24 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_25 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_26 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_27 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_28 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_29 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_30 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_31 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_32 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_33 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_34 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_35 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_36 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_37 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_38 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_39 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_40 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_41 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_42 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_43 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_44 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_45 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_46 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_47 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_48 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_49 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_50 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_51 {c |}{col 15}{res}{space 2}-.3013927{col 27}{space 2} .9180974{col 38}{space 1}   -0.33{col 47}{space 3}0.743{col 55}{space 4}-2.100831{col 68}{space 3} 1.498045
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} .1250325{col 27}{space 2} .9560033{col 38}{space 1}    0.13{col 47}{space 3}0.896{col 55}{space 4}-1.748699{col 68}{space 3} 1.998764
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} .2614255{col 27}{space 2} 1.065714{col 38}{space 1}    0.25{col 47}{space 3}0.806{col 55}{space 4}-1.827336{col 68}{space 3} 2.350187
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-1.086179{col 27}{space 2}   1.1164{col 38}{space 1}   -0.97{col 47}{space 3}0.331{col 55}{space 4}-3.274282{col 68}{space 3} 1.101925
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} .1179247{col 27}{space 2} .9610104{col 38}{space 1}    0.12{col 47}{space 3}0.902{col 55}{space 4}-1.765621{col 68}{space 3} 2.001471
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2}-.2355995{col 27}{space 2}    .8771{col 38}{space 1}   -0.27{col 47}{space 3}0.788{col 55}{space 4}-1.954684{col 68}{space 3} 1.483485
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} .6738296{col 27}{space 2} .9517039{col 38}{space 1}    0.71{col 47}{space 3}0.479{col 55}{space 4}-1.191476{col 68}{space 3} 2.539135
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2} -.659723{col 27}{space 2}  1.06461{col 38}{space 1}   -0.62{col 47}{space 3}0.535{col 55}{space 4}-2.746321{col 68}{space 3} 1.426875
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}-1.348087{col 27}{space 2} 1.132806{col 38}{space 1}   -1.19{col 47}{space 3}0.234{col 55}{space 4}-3.568346{col 68}{space 3} .8721714
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2}-1.336658{col 27}{space 2} 1.383648{col 38}{space 1}   -0.97{col 47}{space 3}0.334{col 55}{space 4}-4.048559{col 68}{space 3} 1.375243
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2} 7.429249{col 27}{space 2} 2.066488{col 38}{space 1}    3.60{col 47}{space 3}0.000{col 55}{space 4} 3.379006{col 68}{space 3} 11.47949
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 12.42588{col 27}{space 2} .8591877{col 38}{space 1}   14.46{col 47}{space 3}0.000{col 55}{space 4}  10.7419{col 68}{space 3} 14.10986
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.108589{col 27}{space 2} .3691678{col 38}{space 1}    3.00{col 47}{space 3}0.003{col 55}{space 4} .3850334{col 68}{space 3} 1.832145
{txt}{space 7}civtot {c |}{col 15}{res}{space 2} .2735196{col 27}{space 2} .1992227{col 38}{space 1}    1.37{col 47}{space 3}0.170{col 55}{space 4}-.1169498{col 68}{space 3}  .663989
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.4366749{col 27}{space 2} .4756923{col 38}{space 1}   -0.92{col 47}{space 3}0.359{col 55}{space 4}-1.369015{col 68}{space 3} .4956648
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} 1.552878{col 27}{space 2} .5271384{col 38}{space 1}    2.95{col 47}{space 3}0.003{col 55}{space 4}  .519706{col 68}{space 3} 2.586051
{txt}{space 3}LitPercent {c |}{col 15}{res}{space 2}-.0234926{col 27}{space 2} .0197719{col 38}{space 1}   -1.19{col 47}{space 3}0.235{col 55}{space 4}-.0622449{col 68}{space 3} .0152596
{txt}{space 5}internet {c |}{col 15}{res}{space 2} .0722477{col 27}{space 2}  .024216{col 38}{space 1}    2.98{col 47}{space 3}0.003{col 55}{space 4} .0247853{col 68}{space 3} .1197101
{txt}{space 7}Lnoil1 {c |}{col 15}{res}{space 2}-.7194514{col 27}{space 2} .1716053{col 38}{space 1}   -4.19{col 47}{space 3}0.000{col 55}{space 4}-1.055792{col 68}{space 3}-.3831113
{txt}{space 8}rgn_1 {c |}{col 15}{res}{space 2}-15.29307{col 27}{space 2} 1.579804{col 38}{space 1}   -9.68{col 47}{space 3}0.000{col 55}{space 4}-18.38942{col 68}{space 3}-12.19671
{txt}{space 8}rgn_2 {c |}{col 15}{res}{space 2}-16.75519{col 27}{space 2} 1.523931{col 38}{space 1}  -10.99{col 47}{space 3}0.000{col 55}{space 4}-19.74204{col 68}{space 3}-13.76834
{txt}{space 8}rgn_3 {c |}{col 15}{res}{space 2}-12.55225{col 27}{space 2} 1.677597{col 38}{space 1}   -7.48{col 47}{space 3}0.000{col 55}{space 4}-15.84028{col 68}{space 3}-9.264223
{txt}{space 8}rgn_4 {c |}{col 15}{res}{space 2}-18.06016{col 27}{space 2} 1.594225{col 38}{space 1}  -11.33{col 47}{space 3}0.000{col 55}{space 4}-21.18478{col 68}{space 3}-14.93553
{txt}{space 8}rgn_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_1 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_2 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_3 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_4 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_5 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_6 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_7 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_8 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 9}yr_9 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_10 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_11 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_12 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_13 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_14 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_15 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_16 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_17 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_18 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_19 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_20 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_21 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_22 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_23 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_24 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_25 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_26 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_27 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_28 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_29 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_30 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_31 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_32 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_33 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_34 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_35 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_36 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_37 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_38 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_39 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_40 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_41 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_42 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_43 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_44 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_45 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_46 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_47 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_48 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_49 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_50 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_51 {c |}{col 15}{res}{space 2} 1.729212{col 27}{space 2} 1.324002{col 38}{space 1}    1.31{col 47}{space 3}0.192{col 55}{space 4}-.8657836{col 68}{space 3} 4.324207
{txt}{space 8}yr_52 {c |}{col 15}{res}{space 2} 2.917924{col 27}{space 2} 1.261577{col 38}{space 1}    2.31{col 47}{space 3}0.021{col 55}{space 4} .4452781{col 68}{space 3} 5.390571
{txt}{space 8}yr_53 {c |}{col 15}{res}{space 2} 6.028716{col 27}{space 2} 1.312286{col 38}{space 1}    4.59{col 47}{space 3}0.000{col 55}{space 4} 3.456682{col 68}{space 3}  8.60075
{txt}{space 8}yr_54 {c |}{col 15}{res}{space 2}-1.208288{col 27}{space 2} 1.338075{col 38}{space 1}   -0.90{col 47}{space 3}0.367{col 55}{space 4}-3.830866{col 68}{space 3}  1.41429
{txt}{space 8}yr_55 {c |}{col 15}{res}{space 2} 2.856147{col 27}{space 2}  1.26065{col 38}{space 1}    2.27{col 47}{space 3}0.023{col 55}{space 4} .3853195{col 68}{space 3} 5.326975
{txt}{space 8}yr_56 {c |}{col 15}{res}{space 2} .5981021{col 27}{space 2} 1.145208{col 38}{space 1}    0.52{col 47}{space 3}0.601{col 55}{space 4}-1.646464{col 68}{space 3} 2.842668
{txt}{space 8}yr_57 {c |}{col 15}{res}{space 2} 2.128869{col 27}{space 2} 1.469351{col 38}{space 1}    1.45{col 47}{space 3}0.147{col 55}{space 4}-.7510061{col 68}{space 3} 5.008744
{txt}{space 8}yr_58 {c |}{col 15}{res}{space 2}-.3716365{col 27}{space 2} 1.266836{col 38}{space 1}   -0.29{col 47}{space 3}0.769{col 55}{space 4} -2.85459{col 68}{space 3} 2.111317
{txt}{space 8}yr_59 {c |}{col 15}{res}{space 2}-.8653576{col 27}{space 2} 1.220723{col 38}{space 1}   -0.71{col 47}{space 3}0.478{col 55}{space 4}-3.257931{col 68}{space 3} 1.527216
{txt}{space 8}yr_60 {c |}{col 15}{res}{space 2} 1.154396{col 27}{space 2} 1.628151{col 38}{space 1}    0.71{col 47}{space 3}0.478{col 55}{space 4}-2.036721{col 68}{space 3} 4.345513
{txt}{space 8}yr_61 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}yr_62 {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 8}_cons {c |}{col 15}{res}{space 2}-19.18035{col 27}{space 2} 4.724193{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-28.43959{col 68}{space 3}-9.921098
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 observation completely determined.{txt}  Standard errors questionable.{p_end}

{com}. *Table A6
. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc  if polity2>5 & polity2!=., cluster(ccode) baseoutcome(0)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -2805.752}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1335.3931}  
Iteration 2:{space 3}log pseudolikelihood = {res:-759.52322}  
Iteration 3:{space 3}log pseudolikelihood = {res:-542.64618}  
Iteration 4:{space 3}log pseudolikelihood = {res:-534.00708}  
Iteration 5:{space 3}log pseudolikelihood = {res:-533.78132}  
Iteration 6:{space 3}log pseudolikelihood = {res:-533.78086}  
Iteration 7:{space 3}log pseudolikelihood = {res:-533.78086}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      3018
{txt}{col 51}Wald chi2({res}10{txt}){col 67}= {res}    992.41
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-533.78086{txt}{col 51}Pseudo R2{col 67}= {res}    0.8098

{txt}{ralign 79:(Std. Err. adjusted for {res:104} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 5.758172{col 27}{space 2} .3122591{col 38}{space 1}   18.44{col 47}{space 3}0.000{col 55}{space 4} 5.146156{col 68}{space 3} 6.370189
{txt}{space 7}xconst {c |}{col 15}{res}{space 2}   .27312{col 27}{space 2} .1627821{col 38}{space 1}    1.68{col 47}{space 3}0.093{col 55}{space 4}-.0459272{col 68}{space 3} .5921671
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.1317076{col 27}{space 2} .0882318{col 38}{space 1}   -1.49{col 47}{space 3}0.136{col 55}{space 4}-.3046388{col 68}{space 3} .0412236
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.4160324{col 27}{space 2}  .241646{col 38}{space 1}   -1.72{col 47}{space 3}0.085{col 55}{space 4}-.8896499{col 68}{space 3} .0575852
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .0527174{col 27}{space 2} .1532441{col 38}{space 1}    0.34{col 47}{space 3}0.731{col 55}{space 4}-.2476356{col 68}{space 3} .3530703
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.846286{col 27}{space 2} 1.465465{col 38}{space 1}   -2.62{col 47}{space 3}0.009{col 55}{space 4}-6.718546{col 68}{space 3} -.974027
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 12.47417{col 27}{space 2} .4296576{col 38}{space 1}   29.03{col 47}{space 3}0.000{col 55}{space 4} 11.63205{col 68}{space 3} 13.31628
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .5362563{col 27}{space 2} .2459064{col 38}{space 1}    2.18{col 47}{space 3}0.029{col 55}{space 4} .0542887{col 68}{space 3} 1.018224
{txt}{space 7}civtot {c |}{col 15}{res}{space 2} -.404019{col 27}{space 2} .0998971{col 38}{space 1}   -4.04{col 47}{space 3}0.000{col 55}{space 4}-.5998137{col 68}{space 3}-.2082242
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.0564666{col 27}{space 2}  .239156{col 38}{space 1}   -0.24{col 47}{space 3}0.813{col 55}{space 4}-.5252038{col 68}{space 3} .4122706
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .5773689{col 27}{space 2}  .201546{col 38}{space 1}    2.86{col 47}{space 3}0.004{col 55}{space 4} .1823459{col 68}{space 3} .9723919
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-19.71759{col 27}{space 2} 2.532569{col 38}{space 1}   -7.79{col 47}{space 3}0.000{col 55}{space 4}-24.68133{col 68}{space 3}-14.75384
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc if polity2<6 & polity2!=., cluster(ccode) baseoutcome(0)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1988.8664}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1820.5821}  
Iteration 2:{space 3}log pseudolikelihood = {res:-944.45448}  
Iteration 3:{space 3}log pseudolikelihood = {res:-833.42125}  
Iteration 4:{space 3}log pseudolikelihood = {res:-607.37415}  
Iteration 5:{space 3}log pseudolikelihood = {res:-548.71691}  
Iteration 6:{space 3}log pseudolikelihood = {res:-540.42308}  
Iteration 7:{space 3}log pseudolikelihood = {res:-539.65571}  
Iteration 8:{space 3}log pseudolikelihood = {res:-539.63821}  
Iteration 9:{space 3}log pseudolikelihood = {res:-539.63817}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      3751
{txt}{col 51}Wald chi2({res}10{txt}){col 67}= {res}    625.55
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-539.63817{txt}{col 51}Pseudo R2{col 67}= {res}    0.7287

{txt}{ralign 79:(Std. Err. adjusted for {res:113} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 5.700494{col 27}{space 2} .2713268{col 38}{space 1}   21.01{col 47}{space 3}0.000{col 55}{space 4} 5.168703{col 68}{space 3} 6.232285
{txt}{space 7}xconst {c |}{col 15}{res}{space 2}  .423642{col 27}{space 2} .0851714{col 38}{space 1}    4.97{col 47}{space 3}0.000{col 55}{space 4} .2567091{col 68}{space 3} .5905749
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.0917543{col 27}{space 2} .0820752{col 38}{space 1}   -1.12{col 47}{space 3}0.264{col 55}{space 4}-.2526188{col 68}{space 3} .0691101
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.3873378{col 27}{space 2} .1359613{col 38}{space 1}   -2.85{col 47}{space 3}0.004{col 55}{space 4}-.6538171{col 68}{space 3}-.1208585
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}-.2452146{col 27}{space 2} .1336843{col 38}{space 1}   -1.83{col 47}{space 3}0.067{col 55}{space 4}-.5072311{col 68}{space 3} .0168018
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.980605{col 27}{space 2} 1.022644{col 38}{space 1}   -2.91{col 47}{space 3}0.004{col 55}{space 4}-4.984951{col 68}{space 3}-.9762586
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 12.96223{col 27}{space 2} .8764676{col 38}{space 1}   14.79{col 47}{space 3}0.000{col 55}{space 4} 11.24438{col 68}{space 3} 14.68007
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.104608{col 27}{space 2} .2628893{col 38}{space 1}    4.20{col 47}{space 3}0.000{col 55}{space 4} .5893542{col 68}{space 3} 1.619861
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.5702158{col 27}{space 2} .3011276{col 38}{space 1}   -1.89{col 47}{space 3}0.058{col 55}{space 4}-1.160415{col 68}{space 3} .0199834
{txt}{space 7}inttot {c |}{col 15}{res}{space 2} .4345726{col 27}{space 2}   .28663{col 38}{space 1}    1.52{col 47}{space 3}0.129{col 55}{space 4}-.1272118{col 68}{space 3} .9963571
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}  .083164{col 27}{space 2}  .292864{col 38}{space 1}    0.28{col 47}{space 3}0.776{col 55}{space 4}-.4908389{col 68}{space 3} .6571669
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-20.33042{col 27}{space 2} 3.550266{col 38}{space 1}   -5.73{col 47}{space 3}0.000{col 55}{space 4}-27.28881{col 68}{space 3}-13.37202
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Table A7
. version 12.1
{txt}
{com}. *need to install spost9_ado to run this. Have to uninstall spost13_ado first
. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc  if polity2>5 & polity2!=., cluster(ccode) baseoutcome(0)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -2805.752}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1335.3931}  
Iteration 2:{space 3}log pseudolikelihood = {res:-759.52322}  
Iteration 3:{space 3}log pseudolikelihood = {res:-542.64618}  
Iteration 4:{space 3}log pseudolikelihood = {res:-534.00708}  
Iteration 5:{space 3}log pseudolikelihood = {res:-533.78132}  
Iteration 6:{space 3}log pseudolikelihood = {res:-533.78086}  
Iteration 7:{space 3}log pseudolikelihood = {res:-533.78086}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      3018
{txt}{col 51}Wald chi2({res}10{txt}){col 67}= {res}    992.41
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-533.78086{txt}{col 51}Pseudo R2{col 67}= {res}    0.8098

{txt}{ralign 79:(Std. Err. adjusted for {res:104} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 5.758172{col 27}{space 2} .3122591{col 38}{space 1}   18.44{col 47}{space 3}0.000{col 55}{space 4} 5.146156{col 68}{space 3} 6.370189
{txt}{space 7}xconst {c |}{col 15}{res}{space 2}   .27312{col 27}{space 2} .1627821{col 38}{space 1}    1.68{col 47}{space 3}0.093{col 55}{space 4}-.0459272{col 68}{space 3} .5921671
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.1317076{col 27}{space 2} .0882318{col 38}{space 1}   -1.49{col 47}{space 3}0.136{col 55}{space 4}-.3046388{col 68}{space 3} .0412236
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.4160324{col 27}{space 2}  .241646{col 38}{space 1}   -1.72{col 47}{space 3}0.085{col 55}{space 4}-.8896499{col 68}{space 3} .0575852
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .0527174{col 27}{space 2} .1532441{col 38}{space 1}    0.34{col 47}{space 3}0.731{col 55}{space 4}-.2476356{col 68}{space 3} .3530703
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.846286{col 27}{space 2} 1.465465{col 38}{space 1}   -2.62{col 47}{space 3}0.009{col 55}{space 4}-6.718546{col 68}{space 3} -.974027
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 12.47417{col 27}{space 2} .4296576{col 38}{space 1}   29.03{col 47}{space 3}0.000{col 55}{space 4} 11.63205{col 68}{space 3} 13.31628
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} .5362563{col 27}{space 2} .2459064{col 38}{space 1}    2.18{col 47}{space 3}0.029{col 55}{space 4} .0542887{col 68}{space 3} 1.018224
{txt}{space 7}civtot {c |}{col 15}{res}{space 2} -.404019{col 27}{space 2} .0998971{col 38}{space 1}   -4.04{col 47}{space 3}0.000{col 55}{space 4}-.5998137{col 68}{space 3}-.2082242
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.0564666{col 27}{space 2}  .239156{col 38}{space 1}   -0.24{col 47}{space 3}0.813{col 55}{space 4}-.5252038{col 68}{space 3} .4122706
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2} .5773689{col 27}{space 2}  .201546{col 38}{space 1}    2.86{col 47}{space 3}0.004{col 55}{space 4} .1823459{col 68}{space 3} .9723919
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-19.71759{col 27}{space 2} 2.532569{col 38}{space 1}   -7.79{col 47}{space 3}0.000{col 55}{space 4}-24.68133{col 68}{space 3}-14.75384
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. listcoef, pvalue(.05) percent help

{txt}mlogit (N={res}3018{txt}): Percentage Change in the Odds of {res}ThreeMedia {txt}when P>|z| < {res}0.05

{txt}Variable: {res}ThreeMedia_tm1 {txt}(sd={res}.70228607{txt})

Odds comparing    {col 19}{c |}
Alternative 1     {col 19}{c |}
to Alternative 2  {col 19}{c |}      b         z     P>|z|       %     %StdX
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
impfree{col 9}-free{col 19}{c |}{res}  -6.71600  -20.245   0.000    -99.9    -99.1
{txt}impfree{col 9}-notfree{col 19}{c |}{res}   5.75817   18.440   0.000  31576.9   5604.8
{txt}free{col 9}-impfree{col 19}{c |}{res}   6.71600   20.245   0.000  82450.5  11078.2
{txt}free{col 9}-notfree{col 19}{c |}{res}  12.47417   29.033   0.000  2.6e+07 637588.1
{txt}notfree{col 9}-impfree{col 19}{c |}{res}  -5.75817  -18.440   0.000    -99.7    -98.2
{txt}notfree{col 9}-free{col 19}{c |}{res} -12.47417  -29.033   0.000   -100.0   -100.0
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

Variable: {res}xconst {txt}(sd={res}.70480651{txt})

Odds comparing    {col 19}{c |}
Alternative 1     {col 19}{c |}
to Alternative 2  {col 19}{c |}      b         z     P>|z|       %     %StdX
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
free{col 9}-notfree{col 19}{c |}{res}   0.53626    2.181   0.029     71.0     45.9
{txt}notfree{col 9}-free{col 19}{c |}{res}  -0.53626   -2.181   0.029    -41.5    -31.5
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

Variable: {res}civtot {txt}(sd={res}1.1971186{txt})

Odds comparing    {col 19}{c |}
Alternative 1     {col 19}{c |}
to Alternative 2  {col 19}{c |}      b         z     P>|z|       %     %StdX
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
impfree{col 9}-free{col 19}{c |}{res}   0.27231    3.920   0.000     31.3     38.5
{txt}free{col 9}-impfree{col 19}{c |}{res}  -0.27231   -3.920   0.000    -23.8    -27.8
{txt}free{col 9}-notfree{col 19}{c |}{res}  -0.40402   -4.044   0.000    -33.2    -38.3
{txt}notfree{col 9}-free{col 19}{c |}{res}   0.40402    4.044   0.000     49.8     62.2
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

Variable: {res}inttot {txt}(sd={res}.42794991{txt})

Odds comparing    {col 19}{c |}
Alternative 1     {col 19}{c |}
to Alternative 2  {col 19}{c |}      b         z     P>|z|       %     %StdX
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
impfree{col 9}-free{col 19}{c |}{res}  -0.35957   -2.147   0.032    -30.2    -14.3
{txt}free{col 9}-impfree{col 19}{c |}{res}   0.35957    2.147   0.032     43.3     16.6
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

Variable: {res}Lrgdpe_pc {txt}(sd={res}1.0645964{txt})

Odds comparing    {col 19}{c |}
Alternative 1     {col 19}{c |}
to Alternative 2  {col 19}{c |}      b         z     P>|z|       %     %StdX
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
impfree{col 9}-free{col 19}{c |}{res}  -0.52465   -3.778   0.000    -40.8    -42.8
{txt}free{col 9}-impfree{col 19}{c |}{res}   0.52465    3.778   0.000     69.0     74.8
{txt}free{col 9}-notfree{col 19}{c |}{res}   0.57737    2.865   0.004     78.1     84.9
{txt}notfree{col 9}-free{col 19}{c |}{res}  -0.57737   -2.865   0.004    -43.9    -45.9
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
       b = raw coefficient
       z = z-score for test of b=0
   P>|z| = p-value for z-test
       % = percent change in odds for unit increase in X
   %StdX = percent change in odds for SD increase in X

{com}. *Table A8
. *also requires version 12.1 and spost9
. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc if polity2<6 & polity2!=., cluster(ccode) baseoutcome(0)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1988.8664}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1820.5821}  
Iteration 2:{space 3}log pseudolikelihood = {res:-944.45448}  
Iteration 3:{space 3}log pseudolikelihood = {res:-833.42125}  
Iteration 4:{space 3}log pseudolikelihood = {res:-607.37415}  
Iteration 5:{space 3}log pseudolikelihood = {res:-548.71691}  
Iteration 6:{space 3}log pseudolikelihood = {res:-540.42308}  
Iteration 7:{space 3}log pseudolikelihood = {res:-539.65571}  
Iteration 8:{space 3}log pseudolikelihood = {res:-539.63821}  
Iteration 9:{space 3}log pseudolikelihood = {res:-539.63817}  
{res}
{txt}Multinomial logistic regression{col 51}Number of obs{col 67}= {res}      3751
{txt}{col 51}Wald chi2({res}10{txt}){col 67}= {res}    625.55
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-539.63817{txt}{col 51}Pseudo R2{col 67}= {res}    0.7287

{txt}{ralign 79:(Std. Err. adjusted for {res:113} clusters in ccode)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   ThreeMedia{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}notfree      {col 15}{txt}{c |}  (base outcome)
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}impfree       {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 5.700494{col 27}{space 2} .2713268{col 38}{space 1}   21.01{col 47}{space 3}0.000{col 55}{space 4} 5.168703{col 68}{space 3} 6.232285
{txt}{space 7}xconst {c |}{col 15}{res}{space 2}  .423642{col 27}{space 2} .0851714{col 38}{space 1}    4.97{col 47}{space 3}0.000{col 55}{space 4} .2567091{col 68}{space 3} .5905749
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.0917543{col 27}{space 2} .0820752{col 38}{space 1}   -1.12{col 47}{space 3}0.264{col 55}{space 4}-.2526188{col 68}{space 3} .0691101
{txt}{space 7}inttot {c |}{col 15}{res}{space 2}-.3873378{col 27}{space 2} .1359613{col 38}{space 1}   -2.85{col 47}{space 3}0.004{col 55}{space 4}-.6538171{col 68}{space 3}-.1208585
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}-.2452146{col 27}{space 2} .1336843{col 38}{space 1}   -1.83{col 47}{space 3}0.067{col 55}{space 4}-.5072311{col 68}{space 3} .0168018
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.980605{col 27}{space 2} 1.022644{col 38}{space 1}   -2.91{col 47}{space 3}0.004{col 55}{space 4}-4.984951{col 68}{space 3}-.9762586
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}free          {txt}{c |}
ThreeMedia_~1 {c |}{col 15}{res}{space 2} 12.96223{col 27}{space 2} .8764676{col 38}{space 1}   14.79{col 47}{space 3}0.000{col 55}{space 4} 11.24438{col 68}{space 3} 14.68007
{txt}{space 7}xconst {c |}{col 15}{res}{space 2} 1.104608{col 27}{space 2} .2628893{col 38}{space 1}    4.20{col 47}{space 3}0.000{col 55}{space 4} .5893542{col 68}{space 3} 1.619861
{txt}{space 7}civtot {c |}{col 15}{res}{space 2}-.5702158{col 27}{space 2} .3011276{col 38}{space 1}   -1.89{col 47}{space 3}0.058{col 55}{space 4}-1.160415{col 68}{space 3} .0199834
{txt}{space 7}inttot {c |}{col 15}{res}{space 2} .4345726{col 27}{space 2}   .28663{col 38}{space 1}    1.52{col 47}{space 3}0.129{col 55}{space 4}-.1272118{col 68}{space 3} .9963571
{txt}{space 4}Lrgdpe_pc {c |}{col 15}{res}{space 2}  .083164{col 27}{space 2}  .292864{col 38}{space 1}    0.28{col 47}{space 3}0.776{col 55}{space 4}-.4908389{col 68}{space 3} .6571669
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-20.33042{col 27}{space 2} 3.550266{col 38}{space 1}   -5.73{col 47}{space 3}0.000{col 55}{space 4}-27.28881{col 68}{space 3}-13.37202
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. listcoef,  pvalue(.05) percent help

{txt}mlogit (N={res}3751{txt}): Percentage Change in the Odds of {res}ThreeMedia {txt}when P>|z| < {res}0.05

{txt}Variable: {res}ThreeMedia_tm1 {txt}(sd={res}.4574181{txt})

Odds comparing    {col 19}{c |}
Alternative 1     {col 19}{c |}
to Alternative 2  {col 19}{c |}      b         z     P>|z|       %     %StdX
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
impfree{col 9}-free{col 19}{c |}{res}  -7.26173   -8.602   0.000    -99.9    -96.4
{txt}impfree{col 9}-notfree{col 19}{c |}{res}   5.70049   21.010   0.000  29801.5   1256.5
{txt}free{col 9}-impfree{col 19}{c |}{res}   7.26173    8.602   0.000 142372.4   2670.6
{txt}free{col 9}-notfree{col 19}{c |}{res}  12.96223   14.789   0.000  4.3e+07  37483.8
{txt}notfree{col 9}-impfree{col 19}{c |}{res}  -5.70049  -21.010   0.000    -99.7    -92.6
{txt}notfree{col 9}-free{col 19}{c |}{res} -12.96223  -14.789   0.000   -100.0    -99.7
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

Variable: {res}xconst {txt}(sd={res}1.3837568{txt})

Odds comparing    {col 19}{c |}
Alternative 1     {col 19}{c |}
to Alternative 2  {col 19}{c |}      b         z     P>|z|       %     %StdX
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
impfree{col 9}-free{col 19}{c |}{res}  -0.68097   -3.006   0.003    -49.4    -61.0
{txt}impfree{col 9}-notfree{col 19}{c |}{res}   0.42364    4.974   0.000     52.8     79.7
{txt}free{col 9}-impfree{col 19}{c |}{res}   0.68097    3.006   0.003     97.6    156.6
{txt}free{col 9}-notfree{col 19}{c |}{res}   1.10461    4.202   0.000    201.8    361.1
{txt}notfree{col 9}-impfree{col 19}{c |}{res}  -0.42364   -4.974   0.000    -34.5    -44.4
{txt}notfree{col 9}-free{col 19}{c |}{res}  -1.10461   -4.202   0.000    -66.9    -78.3
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

Variable: {res}civtot {txt}(sd={res}1.7164278{txt})

Odds comparing    {col 19}{c |}
Alternative 1     {col 19}{c |}
to Alternative 2  {col 19}{c |}      b         z     P>|z|       %     %StdX
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

Variable: {res}inttot {txt}(sd={res}.68292896{txt})

Odds comparing    {col 19}{c |}
Alternative 1     {col 19}{c |}
to Alternative 2  {col 19}{c |}      b         z     P>|z|       %     %StdX
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
impfree{col 9}-free{col 19}{c |}{res}  -0.82191   -2.924   0.003    -56.0    -43.0
{txt}impfree{col 9}-notfree{col 19}{c |}{res}  -0.38734   -2.849   0.004    -32.1    -23.2
{txt}free{col 9}-impfree{col 19}{c |}{res}   0.82191    2.924   0.003    127.5     75.3
{txt}notfree{col 9}-impfree{col 19}{c |}{res}   0.38734    2.849   0.004     47.3     30.3
{txt}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}

Variable: {res}Lrgdpe_pc {txt}(sd={res}1.0039878{txt})

Odds comparing    {col 19}{c |}
Alternative 1     {col 19}{c |}
to Alternative 2  {col 19}{c |}      b         z     P>|z|       %     %StdX
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c +}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c BT}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}{c -}
       b = raw coefficient
       z = z-score for test of b=0
   P>|z| = p-value for z-test
       % = percent change in odds for unit increase in X
   %StdX = percent change in odds for SD increase in X

{com}. 
. *Figure A2
. * for impact of xconst in non-democracy
. summ  Lrgdpe_pc  if polity2<6  & polity2!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 3}Lrgdpe_pc {c |}{res}      4000    7.700658    1.013086   5.031431   11.73383
{txt}
{com}. summ ThreeMedia_tm1  if polity2<6  & polity2!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
ThreeMedia~1 {c |}{res}      5044    .1792228      .44752          0          2
{txt}
{com}. summ xconst  if polity2<6  & polity2!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}xconst {c |}{res}      4903    2.419335    1.367264          1          7
{txt}
{com}. summ civtot if polity2<6 & polity2!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}civtot {c |}{res}      5152    .7857143    1.796231          0         10
{txt}
{com}. summ inttot if polity2<6 & polity2!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}inttot {c |}{res}      5152    .1154891    .6685497          0          9
{txt}
{com}. set more off
{txt}
{com}. estsimp mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc if polity2<6 & polity2!=., cluster(ccode) baseoutcome(0)

{txt}Iteration 0:   log pseudolikelihood = {res}-1988.8664
{txt}Iteration 1:   log pseudolikelihood = {res}-1820.5821
{txt}Iteration 2:   log pseudolikelihood = {res}-944.45448
{txt}Iteration 3:   log pseudolikelihood = {res}-833.42125
{txt}Iteration 4:   log pseudolikelihood = {res}-607.37415
{txt}Iteration 5:   log pseudolikelihood = {res}-557.27541
{txt}Iteration 6:   log pseudolikelihood = {res} -544.0453
{txt}Iteration 7:   log pseudolikelihood = {res}-540.30702
{txt}Iteration 8:   log pseudolikelihood = {res}-539.66885
{txt}Iteration 9:   log pseudolikelihood = {res}-539.63827
{txt}Iteration 10:  log pseudolikelihood = {res}-539.63817
{txt}Iteration 11:  log pseudolikelihood = {res}-539.63817

{txt}Multinomial logistic regression                   Number of obs   = {res}      3751
                                                  {txt}Wald chi2({res}10{txt})   = {res}    625.55
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-539.63817                 {txt}Pseudo R2       = {res}    0.7287

                                {txt}(Std. Err. adjusted for {res}113{txt} clusters in ccode)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
  ThreeMedia {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
{res}impfree      {txt}{c |}
ThreeMedia~1 {c |}  {res} 5.700494   .2713268    21.01   0.000     5.168703    6.232285
      {txt}xconst {c |}  {res}  .423642   .0851714     4.97   0.000     .2567091    .5905749
      {txt}civtot {c |}  {res}-.0917543   .0820752    -1.12   0.264    -.2526188    .0691101
      {txt}inttot {c |}  {res}-.3873385   .1359616    -2.85   0.004    -.6538184   -.1208586
   {txt}Lrgdpe_pc {c |}  {res}-.2452146   .1336843    -1.83   0.067    -.5072311    .0168018
       {txt}_cons {c |}  {res}-2.980605   1.022644    -2.91   0.004    -4.984951   -.9762585
{txt}{hline 13}{c +}{hline 64}
{res}free         {txt}{c |}
ThreeMedia~1 {c |}  {res} 12.96224   .8764728    14.79   0.000     11.24438    14.68009
      {txt}xconst {c |}  {res} 1.104609   .2628898     4.20   0.000     .5893543    1.619863
      {txt}civtot {c |}  {res}-.5702173   .3011281    -1.89   0.058    -1.160418     .019983
      {txt}inttot {c |}  {res} .4346453   .2866439     1.52   0.129    -.1271664     .996457
   {txt}Lrgdpe_pc {c |}  {res} .0831691   .2928647     0.28   0.776    -.4908353    .6571734
       {txt}_cons {c |}  {res}-20.33048   3.550288    -5.73   0.000    -27.28891   -13.37204
{txt}{hline 13}{c BT}{hline 64}
(ThreeMedia==notfree is the base outcome)

{res}Simulating main parameters.  Please wait....
% of simulations completed: 8% 16% 25% 33% 41% 50% 58% 66% 75% 83% 91% 100% 

Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11 b12
{txt}
{com}. 
. 
. 
. generate med_free_lo = .   // these are values that will define the lower and upper bounds 
{txt}(9702 missing values generated)

{com}. generate med_free_hi = .   // for 95% confidence intervals
{txt}(9702 missing values generated)

{com}. generate med_nfree_lo = .
{txt}(9702 missing values generated)

{com}. generate med_nfree_hi = .
{txt}(9702 missing values generated)

{com}. generate med_pfree_hi =.
{txt}(9702 missing values generated)

{com}. generate med_pfree_lo =.
{txt}(9702 missing values generated)

{com}. generate vectaxis = .      // The vectaxis will be the horizontal axis in our graphs of these estimates
{txt}(9702 missing values generated)

{com}. recast float vectaxis      // This tells STATA that the vectaxis will get changed by the commands below
{txt}
{com}. local a=1                                       // This is the starting value for the xconst variable 
{txt}
{com}. local b=1                                                       // b is a macro for observation number 
{txt}
{com}. while `a' <= 7 {c -(}                            // This is the start of a long statement that will run sequentially until a=11
{txt}  2{com}.         setx xconst `a' ThreeMedia_tm1 mean civtot mean inttot mean Lrgdpe_pc mean // The "setx" command determines the values at which all the control variables 
{txt}  3{com}.                                    // are set for the first predicted value "genpr(p1) " 
.         simqi, prval(2) genpr(p2)       // This is the Clarify command for the random generation based on parameter estimates and the estimated covariance matrix that were 
{txt}  4{com}.         _pctile p2, p(2.5,97.5)      // Because we want 95% confidence intervals, we are selecting these values
{txt}  5{com}.         display `a'
{txt}  6{com}.         replace med_free_lo = r(r1) in `b'   // "plo" for "low probability the first percentile (2.5) from the "_pctile" command above 
{txt}  7{com}.         replace med_free_hi = r(r2) in `b'   // "phi" for "high probability" second percentile (97.5) from the "_pctile" command above 
{txt}  8{com}.         
.                            // The "setx" command determines the values at which all the control variables 
.                                    // are set for the first predicted value "genpr(p1) " 
.         simqi, prval(1) genpr(p1)       // This is the Clarify command for the random generation based on parameter estimates and the estimated covariance matrix that were 
{txt}  9{com}.         _pctile p1, p(2.5,97.5)      // Because we want 95% confidence intervals, we are selecting these values
{txt} 10{com}.         display `a'
{txt} 11{com}.         replace med_pfree_lo = r(r1) in `b'   // "plo" for "low probability the first percentile (2.5) from the "_pctile" command above 
{txt} 12{com}.         replace med_pfree_hi = r(r2) in `b'   // "phi" for "high probability" second percentile (97.5) from the "_pctile" command above 
{txt} 13{com}.         
.         simqi, prval(0) genpr(p0)
{txt} 14{com}.         _pctile p0, p(2.5,97.5)
{txt} 15{com}.         display `a'
{txt} 16{com}.         replace med_nfree_lo = r(r1) in `b'
{txt} 17{com}.         replace med_nfree_hi =r(r2) in  `b'
{txt} 18{com}.         
.         replace vectaxis = `a' in `b'     // refers 
{txt} 19{com}.         drop p0
{txt} 20{com}.         drop p1
{txt} 21{com}.         drop p2
{txt} 22{com}.         local a = `a' + .1               // determining the interval over which a is calculated 
{txt} 23{com}.         local b=`b' + 1                 // this is a macro for the observation number for the quantities generated by the simulations
{txt} 24{com}. {c )-}

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 5.98e-07     3.72e-06     1.54e-09    3.32e-06

Simqi generated the following new variable(s): p2
1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0314679     .0050512     .0225651     .041857

Simqi generated the following new variable(s): p1
1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9685316     .0050515     .9581429    .9774349

Simqi generated the following new variable(s): p0
1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 6.40e-07     3.90e-06     1.79e-09    3.58e-06

Simqi generated the following new variable(s): p2
1.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0327638     .0050689     .0237202     .043109

Simqi generated the following new variable(s): p1
1.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9672356     .0050692     .9568904    .9762798

Simqi generated the following new variable(s): p0
1.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 6.84e-07     4.10e-06     2.08e-09    3.86e-06

Simqi generated the following new variable(s): p2
1.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0341132     .0050862     .0249734    .0444581

Simqi generated the following new variable(s): p1
1.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9658861     .0050865     .9555419    .9750266

Simqi generated the following new variable(s): p0
1.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 7.33e-07     4.31e-06     2.42e-09    4.17e-06

Simqi generated the following new variable(s): p2
1.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0355182     .0051041     .0262398    .0457568

Simqi generated the following new variable(s): p1
1.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .964481     .0051045     .9542423    .9737601

Simqi generated the following new variable(s): p0
1.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 7.86e-07     4.54e-06     2.82e-09    4.50e-06

Simqi generated the following new variable(s): p2
1.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0369811     .0051238     .0275135    .0472125

Simqi generated the following new variable(s): p1
1.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9630181     .0051241     .9527871    .9724863

Simqi generated the following new variable(s): p0
1.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 8.42e-07     4.79e-06     3.28e-09    4.86e-06

Simqi generated the following new variable(s): p2
1.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0385041     .0051466     .0290828    .0486444

Simqi generated the following new variable(s): p1
1.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .961495      .005147     .9513554    .9709169

Simqi generated the following new variable(s): p0
1.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 9.04e-07     5.05e-06     3.81e-09    5.25e-06

Simqi generated the following new variable(s): p2
1.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0400895     .0051743     .0307052    .0501631

Simqi generated the following new variable(s): p1
1.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9599096     .0051748     .9498357    .9692945

Simqi generated the following new variable(s): p0
1.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 9.70e-07     5.34e-06     4.44e-09    5.59e-06

Simqi generated the following new variable(s): p2
1.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0417398      .005209     .0323151    .0519176

Simqi generated the following new variable(s): p1
1.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9582592     .0052094     .9480822    .9676848

Simqi generated the following new variable(s): p0
1.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 1.04e-06     5.65e-06     5.25e-09    5.90e-06

Simqi generated the following new variable(s): p2
1.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0434574     .0052529     .0337997    .0538919

Simqi generated the following new variable(s): p1
1.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9565415     .0052534     .9461069    .9661984

Simqi generated the following new variable(s): p0
1.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 1.12e-06     5.99e-06     5.96e-09    6.24e-06

Simqi generated the following new variable(s): p2
1.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0452449     .0053089      .035641    .0555856

Simqi generated the following new variable(s): p1
1.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .954754     .0053094     .9443599    .9643587

Simqi generated the following new variable(s): p0
1.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 1.20e-06     6.35e-06     6.91e-09    6.59e-06

Simqi generated the following new variable(s): p2
2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}  .047105       .00538     .0371004    .0574507

Simqi generated the following new variable(s): p1
2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9528938     .0053805      .942549    .9628996

Simqi generated the following new variable(s): p0
2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 1.30e-06     6.74e-06     8.20e-09    6.97e-06

Simqi generated the following new variable(s): p2
2.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0490403     .0054696     .0389535     .059792

Simqi generated the following new variable(s): p1
2.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9509584     .0054702     .9402075    .9610462

Simqi generated the following new variable(s): p0
2.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 1.40e-06     7.16e-06     9.78e-09    7.37e-06

Simqi generated the following new variable(s): p2
2.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0510536     .0055814     .0406909    .0620183

Simqi generated the following new variable(s): p1
2.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .948945      .005582     .9379815    .9593084

Simqi generated the following new variable(s): p0
2.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 1.50e-06     7.62e-06     1.15e-08    7.79e-06

Simqi generated the following new variable(s): p2
2.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0531479     .0057192     .0423197    .0643216

Simqi generated the following new variable(s): p1
2.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9468506     .0057198      .935678    .9576794

Simqi generated the following new variable(s): p0
2.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 1.62e-06     8.11e-06     1.35e-08    8.23e-06

Simqi generated the following new variable(s): p2
2.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0553259      .005887     .0443027    .0668848

Simqi generated the following new variable(s): p1
2.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9446724     .0058876     .9331141    .9556971

Simqi generated the following new variable(s): p0
2.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 1.75e-06     8.65e-06     1.58e-08    8.70e-06

Simqi generated the following new variable(s): p2
2.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0575909     .0060887     .0462936    .0699173

Simqi generated the following new variable(s): p1
2.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9424074     .0060895     .9300815    .9537043

Simqi generated the following new variable(s): p0
2.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 1.88e-06     9.22e-06     1.85e-08    9.31e-06

Simqi generated the following new variable(s): p2
2.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0599457     .0063284     .0483069    .0728194

Simqi generated the following new variable(s): p1
2.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9400524     .0063292     .9271785    .9516928

Simqi generated the following new variable(s): p0
2.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 2.03e-06     9.84e-06     2.15e-08    9.97e-06

Simqi generated the following new variable(s): p2
2.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0623936     .0066095     .0504213    .0756537

Simqi generated the following new variable(s): p1
2.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9376044     .0066104     .9243459     .949578

Simqi generated the following new variable(s): p0
2.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 2.20e-06     .0000105     2.49e-08    .0000107

Simqi generated the following new variable(s): p2
2.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0649377     .0069355     .0524006    .0790589

Simqi generated the following new variable(s): p1
2.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9350601     .0069364     .9209401    .9475981

Simqi generated the following new variable(s): p0
2.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 2.37e-06     .0000112     2.85e-08    .0000115

Simqi generated the following new variable(s): p2
2.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0675813     .0073094     .0544033    .0824329

Simqi generated the following new variable(s): p1
2.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9324163     .0073104     .9175634     .945596

Simqi generated the following new variable(s): p0
2.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 2.57e-06      .000012     3.26e-08    .0000124

Simqi generated the following new variable(s): p2
3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0703278     .0077339     .0563693    .0862444

Simqi generated the following new variable(s): p1
3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9296696      .007735      .913754    .9436281

Simqi generated the following new variable(s): p0
3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 2.78e-06     .0000128     3.73e-08    .0000133

Simqi generated the following new variable(s): p2
3.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0731804     .0082113     .0582885    .0900232

Simqi generated the following new variable(s): p1
3.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9268168     .0082126     .9099726    .9417095

Simqi generated the following new variable(s): p0
3.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 3.01e-06     .0000138     4.35e-08    .0000144

Simqi generated the following new variable(s): p2
3.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0761427     .0087438     .0602763    .0944001

Simqi generated the following new variable(s): p1
3.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9238543     .0087452     .9055457     .939721

Simqi generated the following new variable(s): p0
3.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 3.25e-06     .0000147     5.11e-08    .0000156

Simqi generated the following new variable(s): p2
3.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}  .079218      .009333     .0625844    .0988699

Simqi generated the following new variable(s): p1
3.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9207788     .0093346     .9011285    .9374138

Simqi generated the following new variable(s): p0
3.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 3.52e-06     .0000158     6.00e-08    .0000171

Simqi generated the following new variable(s): p2
3.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0824097     .0099807     .0650213    .1030719

Simqi generated the following new variable(s): p1
3.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9175867     .0099824     .8969268    .9349768

Simqi generated the following new variable(s): p0
3.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 3.82e-06     .0000169     6.87e-08    .0000188

Simqi generated the following new variable(s): p2
3.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0857215     .0106883     .0673548    .1080193

Simqi generated the following new variable(s): p1
3.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9142747     .0106901     .8919705    .9326442

Simqi generated the following new variable(s): p0
3.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 4.14e-06     .0000181     7.87e-08      .00002

Simqi generated the following new variable(s): p2
3.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0891568      .011457     .0696552     .113065

Simqi generated the following new variable(s): p1
3.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9108391      .011459     .8869278    .9303435

Simqi generated the following new variable(s): p0
3.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 4.49e-06     .0000194     9.01e-08    .0000213

Simqi generated the following new variable(s): p2
3.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0927191     .0122881     .0715511      .11851

Simqi generated the following new variable(s): p1
3.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9072764     .0122903     .8814814    .9284477

Simqi generated the following new variable(s): p0
3.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 4.88e-06     .0000208     1.03e-07    .0000232

Simqi generated the following new variable(s): p2
3.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .0964119     .0131829     .0738114    .1241823

Simqi generated the following new variable(s): p1
3.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .9035832     .0131853     .8758136    .9261866

Simqi generated the following new variable(s): p0
3.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 5.29e-06     .0000223     1.18e-07     .000025

Simqi generated the following new variable(s): p2
3.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1002387     .0141425     .0761988    .1302881

Simqi generated the following new variable(s): p1
3.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .899756     .0141451     .8695643    .9237987

Simqi generated the following new variable(s): p0
3.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 5.75e-06     .0000239     1.35e-07    .0000275

Simqi generated the following new variable(s): p2
4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1042029     .0151679     .0786906    .1366314

Simqi generated the following new variable(s): p1
4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8957913     .0151708     .8633513    .9213071

Simqi generated the following new variable(s): p0
4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 6.25e-06     .0000256     1.54e-07    .0000299

Simqi generated the following new variable(s): p2
4.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}  .108308     .0162603     .0812906    .1435586

Simqi generated the following new variable(s): p1
4.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8916857     .0162635     .8564338     .918707

Simqi generated the following new variable(s): p0
4.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 6.79e-06     .0000274     1.76e-07    .0000325

Simqi generated the following new variable(s): p2
4.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1125573     .0174206     .0834368    .1504256

Simqi generated the following new variable(s): p1
4.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8874359     .0174241     .8495706    .9165559

Simqi generated the following new variable(s): p0
4.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 7.38e-06     .0000294     2.00e-07    .0000351

Simqi generated the following new variable(s): p2
4.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}  .116954     .0186499     .0858863    .1577897

Simqi generated the following new variable(s): p1
4.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8830386     .0186537     .8421988    .9141107

Simqi generated the following new variable(s): p0
4.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 8.03e-06     .0000315     2.33e-07    .0000382

Simqi generated the following new variable(s): p2
4.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1215013     .0199489     .0884782    .1657689

Simqi generated the following new variable(s): p1
4.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8784907     .0199531      .834224    .9115187

Simqi generated the following new variable(s): p0
4.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 8.74e-06     .0000337     2.66e-07    .0000415

Simqi generated the following new variable(s): p2
4.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1262022     .0213184     .0911366    .1738004

Simqi generated the following new variable(s): p1
4.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .873789      .021323     .8261673    .9088621

Simqi generated the following new variable(s): p0
4.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} 9.51e-06     .0000361     3.04e-07    .0000453

Simqi generated the following new variable(s): p2
4.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1310597     .0227592     .0937487    .1824026

Simqi generated the following new variable(s): p1
4.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8689307     .0227642     .8175611    .9062501

Simqi generated the following new variable(s): p0
4.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000104     .0000387     3.50e-07    .0000495

Simqi generated the following new variable(s): p2
4.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1360766     .0242716     .0960957    .1908072

Simqi generated the following new variable(s): p1
4.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .863913     .0242771     .8091526    .9039014

Simqi generated the following new variable(s): p0
4.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000113     .0000414     4.10e-07    .0000552

Simqi generated the following new variable(s): p2
4.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1412554      .025856     .0985663    .1996239

Simqi generated the following new variable(s): p1
4.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8587333     .0258621     .8003713    .9014328

Simqi generated the following new variable(s): p0
4.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000123     .0000443     4.86e-07    .0000601

Simqi generated the following new variable(s): p2
4.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1465986     .0275127      .101152    .2094114

Simqi generated the following new variable(s): p1
4.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8533891     .0275193     .7905448    .8988457

Simqi generated the following new variable(s): p0
4.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000134     .0000473     5.63e-07    .0000647

Simqi generated the following new variable(s): p2
5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1521084     .0292415     .1036576    .2195117

Simqi generated the following new variable(s): p1
5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8478782     .0292488     .7804678      .89634

Simqi generated the following new variable(s): p0
5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000146     .0000506     6.27e-07    .0000696

Simqi generated the following new variable(s): p2
5.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1577867     .0310421     .1062179    .2293152

Simqi generated the following new variable(s): p1
5.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8421987     .0310501     .7706774    .8937795

Simqi generated the following new variable(s): p0
5.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000159     .0000541     7.00e-07     .000075

Simqi generated the following new variable(s): p2
5.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1636352     .0329141     .1088338     .239468

Simqi generated the following new variable(s): p1
5.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8363488     .0329229     .7605257    .8911633

Simqi generated the following new variable(s): p0
5.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000174     .0000578     7.91e-07    .0000819

Simqi generated the following new variable(s): p2
5.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1696555     .0348567     .1115606    .2502611

Simqi generated the following new variable(s): p1
5.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8303271     .0348664     .7497317    .8884377

Simqi generated the following new variable(s): p0
5.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res}  .000019     .0000617     9.15e-07     .000089

Simqi generated the following new variable(s): p2
5.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1758486     .0368688     .1147508    .2613746

Simqi generated the following new variable(s): p1
5.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8241325     .0368793     .7386171    .8852475

Simqi generated the following new variable(s): p0
5.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000207     .0000658     1.02e-06    .0000959

Simqi generated the following new variable(s): p2
5.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1822153      .038949     .1180487    .2730801

Simqi generated the following new variable(s): p1
5.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .817764     .0389605     .7269108    .8819447

Simqi generated the following new variable(s): p0
5.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000226     .0000702     1.13e-06    .0001033

Simqi generated the following new variable(s): p2
5.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1887563     .0410955     .1211658    .2851198

Simqi generated the following new variable(s): p1
5.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8112211     .0411082     .7148695     .878827

Simqi generated the following new variable(s): p0
5.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000247     .0000749     1.27e-06    .0001114

Simqi generated the following new variable(s): p2
5.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1954715     .0433065     .1243537    .2970521

Simqi generated the following new variable(s): p1
5.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .8045038     .0433203     .7029087    .8756384

Simqi generated the following new variable(s): p0
5.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res}  .000027     .0000798     1.46e-06    .0001211

Simqi generated the following new variable(s): p2
5.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2023608     .0455795     .1275416    .3089624

Simqi generated the following new variable(s): p1
5.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .7976122     .0455946     .6909932    .8724481

Simqi generated the following new variable(s): p0
5.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000295      .000085     1.66e-06    .0001326

Simqi generated the following new variable(s): p2
5.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2094236     .0479117     .1305564    .3211337

Simqi generated the following new variable(s): p1
5.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .7905469     .0479283      .678816    .8694335

Simqi generated the following new variable(s): p0
5.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000322     .0000905     1.91e-06     .000145

Simqi generated the following new variable(s): p2
6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2166589     .0503003     .1338846    .3337757

Simqi generated the following new variable(s): p1
6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .7833089     .0503184     .6661996     .866107

Simqi generated the following new variable(s): p0
6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000352     .0000964     2.22e-06     .000158

Simqi generated the following new variable(s): p2
6.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2240651     .0527416     .1370822    .3465566

Simqi generated the following new variable(s): p1
6.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .7758997     .0527615     .6533829    .8628339

Simqi generated the following new variable(s): p0
6.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000385     .0001025     2.51e-06    .0001708

Simqi generated the following new variable(s): p2
6.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2316405     .0552321     .1401667    .3594542

Simqi generated the following new variable(s): p1
6.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .768321     .0552538     .6404762    .8597448

Simqi generated the following new variable(s): p0
6.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000421     .0001091     2.81e-06    .0001864

Simqi generated the following new variable(s): p2
6.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2393827     .0577677     .1431119    .3725577

Simqi generated the following new variable(s): p1
6.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .7605752     .0577914     .6273623    .8567989

Simqi generated the following new variable(s): p0
6.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000461     .0001159     3.14e-06    .0002033

Simqi generated the following new variable(s): p2
6.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}  .247289     .0603438     .1464777    .3858504

Simqi generated the following new variable(s): p1
6.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .752665     .0603698     .6140577    .8535159

Simqi generated the following new variable(s): p0
6.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000504     .0001232     3.55e-06    .0002206

Simqi generated the following new variable(s): p2
6.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2553562     .0629559     .1499146    .3993148

Simqi generated the following new variable(s): p1
6.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .7445934     .0629843     .6005796    .8500785

Simqi generated the following new variable(s): p0
6.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000552      .000131     4.05e-06    .0002422

Simqi generated the following new variable(s): p2
6.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2635806     .0655989     .1534183     .412932

Simqi generated the following new variable(s): p1
6.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .7363642     .0656299     .5869468    .8465742

Simqi generated the following new variable(s): p0
6.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000604     .0001391     4.44e-06    .0002638

Simqi generated the following new variable(s): p2
6.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2719582     .0682676     .1569893    .4266825

Simqi generated the following new variable(s): p1
6.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .7279814     .0683016     .5731786    .8430026

Simqi generated the following new variable(s): p0
6.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000661     .0001478     4.95e-06    .0002884

Simqi generated the following new variable(s): p2
6.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2804845     .0709565     .1607779    .4405458

Simqi generated the following new variable(s): p1
6.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .7194494     .0709936     .5592951    .8392141

Simqi generated the following new variable(s): p0
6.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000723      .000157     5.45e-06    .0003217

Simqi generated the following new variable(s): p2
6.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2891545     .0736599     .1643833    .4547439

Simqi generated the following new variable(s): p1
6.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .7107732     .0737004     .5451941    .8356087

Simqi generated the following new variable(s): p0
6.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .0000792     .0001668     6.15e-06    .0003523

Simqi generated the following new variable(s): p2
7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2979628     .0763718     .1681245    .4693694

Simqi generated the following new variable(s): p1
7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .701958     .0764161     .5305584     .831864

Simqi generated the following new variable(s): p0
7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

{com}. *****
. 
. sort vectaxis
{txt}
{com}. twoway rcap med_free_lo med_free_hi vectaxis 
{res}{txt}
{com}. twoway rcap med_nfree_lo med_nfree_hi vectaxis 
{res}{txt}
{com}. twoway rcap med_pfree_lo med_pfree_hi vectaxis
{res}{txt}
{com}. twoway rcap med_free_lo med_free_hi vectaxis || rcap med_nfree_lo med_nfree_hi vectaxis || rcap med_pfree_lo med_pfree_hi vectaxis, name(graph1, replace)
{res}{txt}
{com}. 
. *******************************
. *Figure A3
. *to generate gdp marginal effect on ThreeMedia in democracies
. *Must first clear from previous figure
. use "CorrelatesOfMediaFreedomReady.dta", clear
{txt}
{com}. *to generate gdp marginal effect on ThreeMedia in democracies
. *first need to get range for gdp 
. summ  Lrgdpe_pc  if polity2>5  & polity2!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 3}Lrgdpe_pc {c |}{res}      3061    8.987452     1.06551   6.006867    11.3106
{txt}
{com}. summ ThreeMedia_tm1  if polity2>5  & polity2!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
ThreeMedia~1 {c |}{res}      3302    1.424894    .6990004          0          2
{txt}
{com}. summ xconst  if polity2>5  & polity2!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}xconst {c |}{res}      3520    6.600568     .699612          5          7
{txt}
{com}. summ civtot if polity2>5 & polity2!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}civtot {c |}{res}      3496    .3704233    1.196239          0         10
{txt}
{com}. summ inttot if polity2>5 & polity2!=.

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}inttot {c |}{res}      3496    .0635011    .4312217          0          5
{txt}
{com}. *       setx Lrgdpe_pc `a'   ThreeMedia_tm1 1.4 xconst 6.6 civtot .4 inttot  .06  // The "setx" command determines the values at which all the control variables 
. 
. set more off
{txt}
{com}. estsimp mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc if polity2>5 & polity2!=., cluster(ccode) baseoutcome(0)

{txt}Iteration 0:   log pseudolikelihood = {res} -2805.752
{txt}Iteration 1:   log pseudolikelihood = {res}-1374.3595
{txt}Iteration 2:   log pseudolikelihood = {res}-762.05884
{txt}Iteration 3:   log pseudolikelihood = {res}-573.22977
{txt}Iteration 4:   log pseudolikelihood = {res}-538.00373
{txt}Iteration 5:   log pseudolikelihood = {res}-533.90574
{txt}Iteration 6:   log pseudolikelihood = {res}-533.78107
{txt}Iteration 7:   log pseudolikelihood = {res}-533.78086
{txt}Iteration 8:   log pseudolikelihood = {res}-533.78086

{txt}Multinomial logistic regression                   Number of obs   = {res}      3018
                                                  {txt}Wald chi2({res}10{txt})   = {res}    992.41
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-533.78086                 {txt}Pseudo R2       = {res}    0.8098

                                {txt}(Std. Err. adjusted for {res}104{txt} clusters in ccode)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
  ThreeMedia {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
{res}impfree      {txt}{c |}
ThreeMedia~1 {c |}  {res} 5.758172   .3122591    18.44   0.000     5.146156    6.370189
      {txt}xconst {c |}  {res}   .27312   .1627821     1.68   0.093    -.0459272    .5921671
      {txt}civtot {c |}  {res}-.1317076   .0882318    -1.49   0.136    -.3046388    .0412236
      {txt}inttot {c |}  {res}-.4160324    .241646    -1.72   0.085    -.8896499    .0575852
   {txt}Lrgdpe_pc {c |}  {res} .0527174   .1532441     0.34   0.731    -.2476356    .3530703
       {txt}_cons {c |}  {res}-3.846286   1.465465    -2.62   0.009    -6.718546    -.974027
{txt}{hline 13}{c +}{hline 64}
{res}free         {txt}{c |}
ThreeMedia~1 {c |}  {res} 12.47417   .4296576    29.03   0.000     11.63205    13.31628
      {txt}xconst {c |}  {res} .5362563   .2459064     2.18   0.029     .0542887    1.018224
      {txt}civtot {c |}  {res} -.404019   .0998971    -4.04   0.000    -.5998137   -.2082242
      {txt}inttot {c |}  {res}-.0564666    .239156    -0.24   0.813    -.5252038    .4122706
   {txt}Lrgdpe_pc {c |}  {res} .5773689    .201546     2.86   0.004     .1823459    .9723919
       {txt}_cons {c |}  {res}-19.71759   2.532569    -7.79   0.000    -24.68133   -14.75384
{txt}{hline 13}{c BT}{hline 64}
(ThreeMedia==notfree is the base outcome)

{res}Simulating main parameters.  Please wait....
% of simulations completed: 8% 16% 25% 33% 41% 50% 58% 66% 75% 83% 91% 100% 

Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11 b12
{txt}
{com}. 
. 
. 
. generate med_free_lo = .   // these are values that will define the lower and upper bounds 
{txt}(10443 missing values generated)

{com}. generate med_free_hi = .   // for 95% confidence intervals
{txt}(10443 missing values generated)

{com}. generate med_nfree_lo = .
{txt}(10443 missing values generated)

{com}. generate med_nfree_hi = .
{txt}(10443 missing values generated)

{com}. generate med_pfree_hi =.
{txt}(10443 missing values generated)

{com}. generate med_pfree_lo =.
{txt}(10443 missing values generated)

{com}. generate vectaxis = .      // The vectaxis will be the horizontal axis in our graphs of these estimates
{txt}(10443 missing values generated)

{com}. recast float vectaxis      // This tells STATA that the vectaxis will get changed by the commands below
{txt}
{com}. local a=6                                               // This is the starting value for the gdp variable 
{txt}
{com}. local b=1                                                       // b is a macro for observation number 
{txt}
{com}. while `a' <= 12 {c -(}                            // This is the start of a long statement that will run sequentially until a=12
{txt}  2{com}. setx Lrgdpe_pc `a'   ThreeMedia_tm1 mean xconst mean civtot mean inttot  mean  // The "setx" command determines the values at which all the control variables                              // are set for the first predicted value "genpr(p1) " 
{txt}  3{com}.         simqi, prval(2) genpr(p2)       // This is the Clarify command for the random generation based on parameter estimates and the estimated covariance matrix that were 
{txt}  4{com}.         _pctile p2, p(2.5,97.5)      // Because we want 95% confidence intervals, we are selecting these values
{txt}  5{com}.         display `a'
{txt}  6{com}.         replace med_free_lo = r(r1) in `b'   // "plo" for "low probability the first percentile (2.5) from the "_pctile" command above 
{txt}  7{com}.         replace med_free_hi = r(r2) in `b'   // "phi" for "high probability" second percentile (97.5) from the "_pctile" command above 
{txt}  8{com}.         
.                            // The "setx" command determines the values at which all the control variables 
.                                    // are set for the first predicted value "genpr(p1) " 
.         simqi, prval(1) genpr(p1)       // This is the Clarify command for the random generation based on parameter estimates and the estimated covariance matrix that were 
{txt}  9{com}.         _pctile p1, p(2.5,97.5)      // Because we want 95% confidence intervals, we are selecting these values
{txt} 10{com}.         display `a'
{txt} 11{com}.         replace med_pfree_lo = r(r1) in `b'   // "plo" for "low probability the first percentile (2.5) from the "_pctile" command above 
{txt} 12{com}.         replace med_pfree_hi = r(r2) in `b'   // "phi" for "high probability" second percentile (97.5) from the "_pctile" command above 
{txt} 13{com}.         
.         simqi, prval(0) genpr(p0)
{txt} 14{com}.         _pctile p0, p(2.5,97.5)
{txt} 15{com}.         display `a'
{txt} 16{com}.         replace med_nfree_lo = r(r1) in `b'
{txt} 17{com}.         replace med_nfree_hi =r(r2) in  `b'
{txt} 18{com}.         
.         replace vectaxis = `a' in `b'     // refers 
{txt} 19{com}.         drop p0
{txt} 20{com}.         drop p1
{txt} 21{com}.         drop p2
{txt} 22{com}.         local a = `a' + .1               // determining the interval over which a is calculated 
{txt} 23{com}.         local b=`b' + 1                 // this is a macro for the observation number for the quantities generated by the simulations
{txt} 24{com}. {c )-}

{txt}      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .2074557     .0683458     .0951233    .3621385

Simqi generated the following new variable(s): p2
6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .7911003     .0682434     .6373804    .9037967

Simqi generated the following new variable(s): p1
6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .001444     .0009216      .000351    .0038685

Simqi generated the following new variable(s): p0
6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res}  .215459     .0680413     .1021721    .3682957

Simqi generated the following new variable(s): p2
6.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .7831291     .0679409     .6312228    .8967736

Simqi generated the following new variable(s): p1
6.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0014118     .0008816     .0003544    .0037427

Simqi generated the following new variable(s): p0
6.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .2237237     .0676358     .1096801     .374496

Simqi generated the following new variable(s): p2
6.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .7748963     .0675374     .6250223    .8892826

Simqi generated the following new variable(s): p1
6.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}   .00138     .0008431     .0003577    .0036311

Simqi generated the following new variable(s): p0
6.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .2322523     .0671251     .1176675    .3807377

Simqi generated the following new variable(s): p2
6.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .7663992      .067029     .6187803     .881312

Simqi generated the following new variable(s): p1
6.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0013486      .000806       .00036    .0035017

Simqi generated the following new variable(s): p0
6.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .2410464     .0665053     .1261711    .3870192

Simqi generated the following new variable(s): p2
6.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .7576361     .0664115     .6124987     .872842

Simqi generated the following new variable(s): p1
6.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0013175     .0007703     .0003606    .0033668

Simqi generated the following new variable(s): p0
6.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .2501072     .0657729     .1355924    .3933383

Simqi generated the following new variable(s): p2
6.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .7486061     .0656817     .6060888    .8637189

Simqi generated the following new variable(s): p1
6.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0012867     .0007358     .0003634    .0032498

Simqi generated the following new variable(s): p0
6.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .2594349      .064925     .1455391    .3997982

Simqi generated the following new variable(s): p2
6.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .7393088     .0648364     .5994813    .8535329

Simqi generated the following new variable(s): p1
6.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0012563     .0007026     .0003671    .0031061

Simqi generated the following new variable(s): p0
6.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .2690289     .0639593      .155507    .4064546

Simqi generated the following new variable(s): p2
6.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .7297449     .0638735     .5928369    .8435864

Simqi generated the following new variable(s): p1
6.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0012262     .0006707     .0003707    .0029906

Simqi generated the following new variable(s): p0
6.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .2788876     .0628741      .166313    .4131455

Simqi generated the following new variable(s): p2
6.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .7199159     .0627912     .5861578    .8330734

Simqi generated the following new variable(s): p1
6.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0011965       .00064     .0003715    .0028784

Simqi generated the following new variable(s): p0
6.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .2890085     .0616688      .177588    .4197086

Simqi generated the following new variable(s): p2
6.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .7098245      .061589      .579698    .8216843

Simqi generated the following new variable(s): p1
6.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .001167     .0006104     .0003711    .0027987

Simqi generated the following new variable(s): p0
6.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res}  .299388     .0603438     .1895569    .4259606

Simqi generated the following new variable(s): p2
7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .6994742     .0602672     .5733422    .8096117

Simqi generated the following new variable(s): p1
7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0011379      .000582     .0003703    .0026922

Simqi generated the following new variable(s): p0
7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .3100212     .0589005     .2014828    .4316866

Simqi generated the following new variable(s): p2
7.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .6888698     .0588272     .5675744    .7977182

Simqi generated the following new variable(s): p1
7.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .001109     .0005548     .0003685    .0025618

Simqi generated the following new variable(s): p0
7.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .3209023     .0573418      .214731    .4381368

Simqi generated the following new variable(s): p2
7.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .6780172      .057272     .5607495    .7841485

Simqi generated the following new variable(s): p1
7.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0010805     .0005286     .0003636    .0024493

Simqi generated the following new variable(s): p0
7.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .3320242     .0556722     .2281988    .4448665

Simqi generated the following new variable(s): p2
7.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .6669236      .055606     .5543454    .7709977

Simqi generated the following new variable(s): p1
7.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0010522     .0005036     .0003643    .0023429

Simqi generated the following new variable(s): p0
7.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .3433783      .053898     .2417115    .4518041

Simqi generated the following new variable(s): p2
7.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .6555974     .0538355     .5474917    .7569706

Simqi generated the following new variable(s): p1
7.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0010243     .0004796     .0003633     .002256

Simqi generated the following new variable(s): p0
7.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res}  .354955     .0520276     .2556412    .4577343

Simqi generated the following new variable(s): p2
7.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .6440483     .0519688     .5417068    .7434345

Simqi generated the following new variable(s): p1
7.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0009966     .0004566     .0003609    .0021642

Simqi generated the following new variable(s): p0
7.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .3667434     .0500716     .2704535    .4658467

Simqi generated the following new variable(s): p2
7.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .6322872     .0500167     .5335429    .7288006

Simqi generated the following new variable(s): p1
7.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0009693     .0004347     .0003571    .0020783

Simqi generated the following new variable(s): p0
7.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .3787312     .0480434     .2854376    .4739626

Simqi generated the following new variable(s): p2
7.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .6203265     .0479924     .5251656    .7131887

Simqi generated the following new variable(s): p1
7.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0009423     .0004138     .0003551    .0020124

Simqi generated the following new variable(s): p0
7.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .3909049     .0459594     .3007084    .4818255

Simqi generated the following new variable(s): p2
7.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .6081795     .0459124     .5172071    .6982177

Simqi generated the following new variable(s): p1
7.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0009156     .0003939     .0003512    .0019192

Simqi generated the following new variable(s): p0
7.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .4032496     .0438396     .3170708    .4899411

Simqi generated the following new variable(s): p2
7.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .5958612     .0437966     .5089976    .6820796

Simqi generated the following new variable(s): p1
7.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0008893      .000375     .0003481     .001849

Simqi generated the following new variable(s): p0
7.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .4157495     .0417081     .3334761     .497411

Simqi generated the following new variable(s): p2
8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .5833873      .041669     .5018997    .6655678

Simqi generated the following new variable(s): p1
8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0008632      .000357     .0003462    .0017758

Simqi generated the following new variable(s): p0
8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .4283874     .0395933     .3504322    .5050862

Simqi generated the following new variable(s): p2
8.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}  .570775     .0395581     .4943021    .6488163

Simqi generated the following new variable(s): p1
8.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0008375       .00034     .0003409     .001686

Simqi generated the following new variable(s): p0
8.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .4411455     .0375288     .3664182    .5133468

Simqi generated the following new variable(s): p2
8.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .5580423     .0374975     .4861734     .632703

Simqi generated the following new variable(s): p1
8.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0008122      .000324     .0003377    .0016023

Simqi generated the following new variable(s): p0
8.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .4540046     .0355538     .3831532    .5232129

Simqi generated the following new variable(s): p2
8.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .5452081      .035526     .4757164    .6158513

Simqi generated the following new variable(s): p1
8.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0007873     .0003088      .000334    .0015328

Simqi generated the following new variable(s): p0
8.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res}  .466945     .0337127     .4000993    .5314624

Simqi generated the following new variable(s): p2
8.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .5322923     .0336882     .4675178     .598982

Simqi generated the following new variable(s): p1
8.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0007627     .0002946     .0003289    .0014707

Simqi generated the following new variable(s): p0
8.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .4799463     .0320547       .41555    .5419539

Simqi generated the following new variable(s): p2
8.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .5193152     .0320332     .4571781    .5836458

Simqi generated the following new variable(s): p1
8.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0007386     .0002812     .0003204    .0014089

Simqi generated the following new variable(s): p0
8.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .4929874     .0306321     .4323121    .5517463

Simqi generated the following new variable(s): p2
8.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .5062978     .0306131     .4468858    .5668832

Simqi generated the following new variable(s): p1
8.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0007148     .0002687     .0003098     .001349

Simqi generated the following new variable(s): p0
8.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .5060473     .0294963     .4479471    .5631486

Simqi generated the following new variable(s): p2
8.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .4932613     .0294791      .436419    .5513077

Simqi generated the following new variable(s): p1
8.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0006915     .0002571     .0002993     .001291

Simqi generated the following new variable(s): p0
8.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .5191043     .0286929     .4638336     .574664

Simqi generated the following new variable(s): p2
8.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .4802272     .0286768     .4247606    .5354258

Simqi generated the following new variable(s): p1
8.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0006686     .0002463     .0002929    .0012358

Simqi generated the following new variable(s): p0
8.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res}  .532137     .0282548     .4789155    .5866164

Simqi generated the following new variable(s): p2
8.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .4672169     .0282391     .4127616    .5204547

Simqi generated the following new variable(s): p1
8.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0006461     .0002362     .0002843    .0011799

Simqi generated the following new variable(s): p0
8.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res}  .545124     .0281971     .4906569    .5999655

Simqi generated the following new variable(s): p2
9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .4542519     .0281808     .3994697    .5087699

Simqi generated the following new variable(s): p1
9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0006241      .000227     .0002783    .0011515

Simqi generated the following new variable(s): p0
9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .5580443     .0285131     .5025724    .6134191

Simqi generated the following new variable(s): p2
9.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .4413531     .0284956     .3860619     .496706

Simqi generated the following new variable(s): p1
9.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0006026     .0002185     .0002689    .0011253

Simqi generated the following new variable(s): p0
9.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .5708774     .0291759     .5145225    .6267211

Simqi generated the following new variable(s): p2
9.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}  .428541     .0291566     .3727191    .4850243

Simqi generated the following new variable(s): p1
9.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0005816     .0002107     .0002607    .0010823

Simqi generated the following new variable(s): p0
9.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .5836034     .0301426     .5232818    .6404509

Simqi generated the following new variable(s): p2
9.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .4158356      .030121     .3590585    .4762937

Simqi generated the following new variable(s): p1
9.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .000561     .0002035     .0002539    .0010482

Simqi generated the following new variable(s): p0
9.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .5962032     .0313614      .532529    .6558292

Simqi generated the following new variable(s): p2
9.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .4032558     .0313371     .3436708    .4669834

Simqi generated the following new variable(s): p1
9.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .000541      .000197     .0002431    .0010178

Simqi generated the following new variable(s): p0
9.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .6086586     .0327776     .5409387    .6719034

Simqi generated the following new variable(s): p2
9.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}   .39082     .0327503     .3276907    .4585542

Simqi generated the following new variable(s): p1
9.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0005214     .0001911     .0002359    .0009969

Simqi generated the following new variable(s): p0
9.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .6209524     .0343383     .5484737    .6876145

Simqi generated the following new variable(s): p2
9.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .3785452     .0343081     .3119526    .4508699

Simqi generated the following new variable(s): p1
9.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0005024     .0001858     .0002256    .0009872

Simqi generated the following new variable(s): p0
9.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .6330685     .0359959     .5582611    .7027317

Simqi generated the following new variable(s): p2
9.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .3664476     .0359626     .2968084    .4412206

Simqi generated the following new variable(s): p1
9.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0004839      .000181     .0002164    .0009566

Simqi generated the following new variable(s): p0
9.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .6449921     .0377085      .567324    .7175959

Simqi generated the following new variable(s): p2
9.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}  .354542     .0376723     .2821742    .4323254

Simqi generated the following new variable(s): p1
9.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0004659     .0001766     .0002065    .0009267

Simqi generated the following new variable(s): p0
9.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .6567096      .039441     .5741323    .7309904

Simqi generated the following new variable(s): p2
9.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}  .342842     .0394019     .2686631    .4253108

Simqi generated the following new variable(s): p1
9.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0004484     .0001726     .0001949    .0008982

Simqi generated the following new variable(s): p0
9.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .6682086     .0411638     .5811272    .7447676

Simqi generated the following new variable(s): p2
10
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .3313599      .041122     .2546271    .4183076

Simqi generated the following new variable(s): p1
10
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0004315      .000169     .0001851    .0008729

Simqi generated the following new variable(s): p0
10
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .6794781     .0428531     .5877728    .7594057

Simqi generated the following new variable(s): p2
10.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .3201068     .0428087     .2399608    .4116063

Simqi generated the following new variable(s): p1
10.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res}  .000415     .0001658     .0001768    .0008459

Simqi generated the following new variable(s): p0
10.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .6905085     .0444895     .5947081    .7727019

Simqi generated the following new variable(s): p2
10.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .3090924     .0444426     .2269543    .4046743

Simqi generated the following new variable(s): p1
10.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0003991     .0001629     .0001682    .0008141

Simqi generated the following new variable(s): p0
10.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .7012914     .0460576     .6020326    .7848443

Simqi generated the following new variable(s): p2
10.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2983249     .0460084     .2148336     .397415

Simqi generated the following new variable(s): p1
10.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0003837     .0001602     .0001595    .0007902

Simqi generated the following new variable(s): p0
10.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .7118197     .0475454     .6092926    .7978461

Simqi generated the following new variable(s): p2
10.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2878115     .0474942     .2019326    .3901674

Simqi generated the following new variable(s): p1
10.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0003689     .0001577     .0001496    .0007704

Simqi generated the following new variable(s): p0
10.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .7220876     .0489439      .616504    .8104732

Simqi generated the following new variable(s): p2
10.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2775579     .0488907     .1893004    .3829684

Simqi generated the following new variable(s): p1
10.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0003545     .0001555      .000142     .000745

Simqi generated the following new variable(s): p0
10.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .7320906     .0502465     .6237389    .8219266

Simqi generated the following new variable(s): p2
10.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2675688     .0501915     .1778851    .3758207

Simqi generated the following new variable(s): p1
10.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0003406     .0001534     .0001337    .0007274

Simqi generated the following new variable(s): p0
10.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .7418252     .0514484     .6315381    .8325576

Simqi generated the following new variable(s): p2
10.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2578476     .0513918     .1670679    .3679888

Simqi generated the following new variable(s): p1
10.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0003272     .0001515     .0001259    .0007105

Simqi generated the following new variable(s): p0
10.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .7512891      .052547     .6387626    .8425751

Simqi generated the following new variable(s): p2
10.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2483966     .0524889     .1572631    .3606103

Simqi generated the following new variable(s): p1
10.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0003143     .0001497     .0001172    .0006995

Simqi generated the following new variable(s): p0
10.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res}  .760481     .0535407     .6455363    .8519038

Simqi generated the following new variable(s): p2
10.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2392171     .0534813     .1478949    .3538963

Simqi generated the following new variable(s): p1
10.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0003019     .0001479     .0001079    .0006862

Simqi generated the following new variable(s): p0
10.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .7694006     .0544293     .6524612    .8612334

Simqi generated the following new variable(s): p2
11
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2303094     .0543688     .1386279    .3472266

Simqi generated the following new variable(s): p1
11
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0002899     .0001463     .0000993    .0006713

Simqi generated the following new variable(s): p0
11
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .7780486     .0552139     .6585097    .8698463

Simqi generated the following new variable(s): p2
11.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res}  .221673     .0551524     .1300254    .3411856

Simqi generated the following new variable(s): p1
11.1
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0002784     .0001448     .0000918    .0006487

Simqi generated the following new variable(s): p0
11.1
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .7864262      .055896     .6645072    .8781861

Simqi generated the following new variable(s): p2
11.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2133064     .0558336      .121682    .3351954

Simqi generated the following new variable(s): p1
11.2
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0002673     .0001433     .0000856    .0006246

Simqi generated the following new variable(s): p0
11.2
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .7945357     .0564781      .670452    .8866389

Simqi generated the following new variable(s): p2
11.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .2052076      .056415      .113208    .3292578

Simqi generated the following new variable(s): p1
11.3
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0002567     .0001419     .0000806    .0006138

Simqi generated the following new variable(s): p0
11.3
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .8023799     .0569631     .6761099    .8946677

Simqi generated the following new variable(s): p2
11.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1973736     .0568994     .1051914    .3235161

Simqi generated the following new variable(s): p1
11.4
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0002465     .0001405     .0000757    .0005956

Simqi generated the following new variable(s): p0
11.4
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .8099622     .0573546     .6813971     .901916

Simqi generated the following new variable(s): p2
11.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1898011     .0572903     .0979472    .3182379

Simqi generated the following new variable(s): p1
11.5
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0002367     .0001391      .000071     .000575

Simqi generated the following new variable(s): p0
11.5
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .8172866     .0576561     .6866376     .908245

Simqi generated the following new variable(s): p2
11.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1824862     .0575915     .0916994    .3130062

Simqi generated the following new variable(s): p1
11.6
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0002272     .0001378     .0000656    .0005644

Simqi generated the following new variable(s): p0
11.6
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .8243575     .0578719     .6918302    .9146627

Simqi generated the following new variable(s): p2
11.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1754243      .057807     .0852969    .3078222

Simqi generated the following new variable(s): p1
11.7
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0002182     .0001365      .000061    .0005573

Simqi generated the following new variable(s): p0
11.7
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .8311797     .0580061     .6974933    .9204682

Simqi generated the following new variable(s): p2
11.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1686108      .057941     .0794711    .3020474

Simqi generated the following new variable(s): p1
11.8
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0002095     .0001352     .0000563    .0005461

Simqi generated the following new variable(s): p0
11.8
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .8377585      .058063     .7035575    .9258285

Simqi generated the following new variable(s): p2
11.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1620403     .0579979     .0740831    .2960291

Simqi generated the following new variable(s): p1
11.9
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0002012      .000134     .0000517    .0005433

Simqi generated the following new variable(s): p0
11.9
{txt}(1 real change made)
(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         Pr(ThreeM~a=free) |  {res} .8440993     .0580472     .7095425    .9310298

Simqi generated the following new variable(s): p2
12
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=impfree) |  {res} .1557075      .057982     .0688879    .2902002

Simqi generated the following new variable(s): p1
12
{txt}(1 real change made)
(1 real change made)

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
      Pr(ThreeM~a=notfree) |  {res} .0001932     .0001327     .0000473    .0005405

Simqi generated the following new variable(s): p0
12
{txt}(1 real change made)
(1 real change made)
(1 real change made)

{com}. *****
. 
. sort vectaxis
{txt}
{com}. twoway rcap med_free_lo med_free_hi vectaxis 
{res}{txt}
{com}. twoway rcap med_nfree_lo med_nfree_hi vectaxis 
{res}{txt}
{com}. twoway rcap med_pfree_lo med_pfree_hi vectaxis
{res}{txt}
{com}. twoway rcap med_free_lo med_free_hi vectaxis || rcap med_nfree_lo med_nfree_hi vectaxis || rcap med_pfree_lo med_pfree_hi vectaxis, name(graph1, replace)
{res}{txt}
{com}. 
. *Tables A9 and A10
. ***************This is how to create a classification table aka confusion matrix ***************************
. version 9
{txt}
{com}. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc if polity2<6 & polity2!=., cluster(ccode) baseoutcome(0)

{txt}Iteration 0:   log pseudolikelihood = {res}-1988.8664
{txt}Iteration 1:   log pseudolikelihood = {res}-1820.5821
{txt}Iteration 2:   log pseudolikelihood = {res}-944.45448
{txt}Iteration 3:   log pseudolikelihood = {res}-833.42125
{txt}Iteration 4:   log pseudolikelihood = {res}-607.37415
{txt}Iteration 5:   log pseudolikelihood = {res}-557.27541
{txt}Iteration 6:   log pseudolikelihood = {res} -544.0453
{txt}Iteration 7:   log pseudolikelihood = {res}-540.30702
{txt}Iteration 8:   log pseudolikelihood = {res}-539.66885
{txt}Iteration 9:   log pseudolikelihood = {res}-539.63827
{txt}Iteration 10:  log pseudolikelihood = {res}-539.63817
{txt}Iteration 11:  log pseudolikelihood = {res}-539.63817

{txt}Multinomial logistic regression                   Number of obs   = {res}      3751
                                                  {txt}Wald chi2({res}10{txt})   = {res}    625.55
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log pseudolikelihood = {res}-539.63817                 {txt}Pseudo R2       = {res}    0.7287

                                {txt}(Std. Err. adjusted for {res}113{txt} clusters in ccode)
{hline 13}{c TT}{hline 64}
             {c |}               Robust
  ThreeMedia {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
{res}impfree      {txt}{c |}
ThreeMedia~1 {c |}  {res} 5.700494   .2713268    21.01   0.000     5.168703    6.232285
      {txt}xconst {c |}  {res}  .423642   .0851714     4.97   0.000     .2567091    .5905749
      {txt}civtot {c |}  {res}-.0917543   .0820752    -1.12   0.264    -.2526188    .0691101
      {txt}inttot {c |}  {res}-.3873385   .1359616    -2.85   0.004    -.6538184   -.1208586
   {txt}Lrgdpe_pc {c |}  {res}-.2452146   .1336843    -1.83   0.067    -.5072311    .0168018
       {txt}_cons {c |}  {res}-2.980605   1.022644    -2.91   0.004    -4.984951   -.9762585
{txt}{hline 13}{c +}{hline 64}
{res}free         {txt}{c |}
ThreeMedia~1 {c |}  {res} 12.96224   .8764728    14.79   0.000     11.24438    14.68009
      {txt}xconst {c |}  {res} 1.104609   .2628898     4.20   0.000     .5893543    1.619863
      {txt}civtot {c |}  {res}-.5702173   .3011281    -1.89   0.058    -1.160418     .019983
      {txt}inttot {c |}  {res} .4346453   .2866439     1.52   0.129    -.1271664     .996457
   {txt}Lrgdpe_pc {c |}  {res} .0831691   .2928647     0.28   0.776    -.4908353    .6571734
       {txt}_cons {c |}  {res}-20.33048   3.550288    -5.73   0.000    -27.28891   -13.37204
{txt}{hline 13}{c BT}{hline 64}
(ThreeMedia==notfree is the base outcome)

{com}. epcp

{txt}Displaying classification results for mlogit
Dependent variable: ThreeMedia

Classification table

 Predicted {c |}
 values of {c |}   Actual values of ThreeMedia
ThreeMedia {c |}   notfree    impfree       free {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
   notfree {c |}{res}     3,042         62          1 {txt}{c |}{res}     3,105 
{txt}   impfree {c |}{res}        55        495          3 {txt}{c |}{res}       553 
{txt}      free {c |}{res}         3          6         84 {txt}{c |}{res}        93 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}     3,100        563         88 {txt}{c |}{res}     3,751 

{txt}    Percent Correctly Predicted = {res} 96.53%
{txt}      Percent in Modal Category = {res} 82.64%
{txt}Proportional Reduction in Error = {res} 80.03%

{txt}expected PCP = {res} 93.35%
{txt}expected PMC = {res} 70.61%
{txt}expected PRE = {res} 77.38%
{txt}
{com}. mlogit ThreeMedia ThreeMedia_tm1 xconst civtot  inttot  Lrgdpe_pc if polity2>5 & polity2!=.,  baseoutcome(0)

{txt}Iteration 0:   log likelihood = {res} -2805.752
{txt}Iteration 1:   log likelihood = {res}-1374.3595
{txt}Iteration 2:   log likelihood = {res}-762.05884
{txt}Iteration 3:   log likelihood = {res}-573.22977
{txt}Iteration 4:   log likelihood = {res}-538.00373
{txt}Iteration 5:   log likelihood = {res}-533.90574
{txt}Iteration 6:   log likelihood = {res}-533.78107
{txt}Iteration 7:   log likelihood = {res}-533.78086
{txt}Iteration 8:   log likelihood = {res}-533.78086

{txt}Multinomial logistic regression                   Number of obs   = {res}      3018
                                                  {txt}LR chi2({res}10{txt})     = {res}   4543.94
                                                  {txt}Prob > chi2     = {res}    0.0000
{txt}Log likelihood = {res}-533.78086                       {txt}Pseudo R2       = {res}    0.8098

{txt}{hline 13}{c TT}{hline 64}
  ThreeMedia {c |}      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
{hline 13}{c +}{hline 64}
{res}impfree      {txt}{c |}
ThreeMedia~1 {c |}  {res} 5.758172   .2906176    19.81   0.000     5.188572    6.327773
      {txt}xconst {c |}  {res}   .27312   .1654138     1.65   0.099    -.0510852    .5973251
      {txt}civtot {c |}  {res}-.1317076   .0822428    -1.60   0.109    -.2929005    .0294853
      {txt}inttot {c |}  {res}-.4160324   .6147085    -0.68   0.499    -1.620839    .7887741
   {txt}Lrgdpe_pc {c |}  {res} .0527174   .1390391     0.38   0.705    -.2197944    .3252291
       {txt}_cons {c |}  {res}-3.846286    1.38858    -2.77   0.006    -6.567853    -1.12472
{txt}{hline 13}{c +}{hline 64}
{res}free         {txt}{c |}
ThreeMedia~1 {c |}  {res} 12.47417   .3868511    32.25   0.000     11.71595    13.23238
      {txt}xconst {c |}  {res} .5362563   .2503557     2.14   0.032     .0455681    1.026944
      {txt}civtot {c |}  {res} -.404019   .1396001    -2.89   0.004    -.6776301   -.1304078
      {txt}inttot {c |}  {res}-.0564666    .802361    -0.07   0.944    -1.629065    1.516132
   {txt}Lrgdpe_pc {c |}  {res} .5773689   .2028909     2.85   0.004       .17971    .9750278
       {txt}_cons {c |}  {res}-19.71759   1.927328   -10.23   0.000    -23.49508   -15.94009
{txt}{hline 13}{c BT}{hline 64}
(ThreeMedia==notfree is the base outcome)

{com}. epcp

{txt}Displaying classification results for mlogit
Dependent variable: ThreeMedia

Classification table

 Predicted {c |}
 values of {c |}   Actual values of ThreeMedia
ThreeMedia {c |}   notfree    impfree       free {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
   notfree {c |}{res}       319         50          3 {txt}{c |}{res}       372 
{txt}   impfree {c |}{res}        17        889         37 {txt}{c |}{res}       943 
{txt}      free {c |}{res}         0         25      1,678 {txt}{c |}{res}     1,703 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}       336        964      1,718 {txt}{c |}{res}     3,018 

{txt}    Percent Correctly Predicted = {res} 95.63%
{txt}      Percent in Modal Category = {res} 56.93%
{txt}Proportional Reduction in Error = {res} 89.85%

{txt}expected PCP = {res} 91.73%
{txt}expected PMC = {res} 43.85%
{txt}expected PRE = {res} 85.28%
{txt}
{com}. 
. *****************************Comparison Between Freedom House Data and Global Media Freedom Data
. *Table A4
. clear 
{txt}
{com}. version 13.1
{txt}
{com}. set linesize 80
{txt}
{com}. set scheme s2color
{txt}
{com}. clear all
{txt}
{com}. macro drop _all
{txt}
{com}. import delimited using  "Global_Media_Freedom_Data.csv", clear
{res}{text}(4 vars, 9714 obs)

{com}. *collapse GMFD into 3 categories (collapsing the two "not free" categories) in order to compare to FH
. gen gmf=.
{txt}(9714 missing values generated)

{com}. replace gmf=0 if mediascore==3 | mediascore==4
{txt}(5045 real changes made)

{com}. replace gmf=1 if mediascore==2
{txt}(2111 real changes made)

{com}. replace gmf=2 if mediascore==1
{txt}(2536 real changes made)

{com}. tab gmf mediascore

           {txt}{c |}                 mediascore
       gmf {c |}         1          2          3          4 {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
         0 {c |}{res}         0          0      2,006      3,039 {txt}{c |}{res}     5,045 
{txt}         1 {c |}{res}         0      2,111          0          0 {txt}{c |}{res}     2,111 
{txt}         2 {c |}{res}     2,536          0          0          0 {txt}{c |}{res}     2,536 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}     2,536      2,111      2,006      3,039 {txt}{c |}{res}     9,692 

{txt}
{com}. sort ccode year
{txt}
{com}. joinby ccode year using FreedomHouseMergeReady, unmatch(both)
{txt}
{com}. pwcorr gmf FHStatus if year>1978 & year<1993, sig

             {txt}{c |}      gmf FHStatus
{hline 13}{c +}{hline 18}
         gmf {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
    FHStatus {c |} {res}  0.7478   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}. pwcorr gmf FHStatus if year>1992 & year<1997, sig

             {txt}{c |}      gmf FHStatus
{hline 13}{c +}{hline 18}
         gmf {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
    FHStatus {c |} {res}  0.7460   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}. pwcorr gmf FHScore if year>1992 & year<1997, sig

             {txt}{c |}      gmf  FHScore
{hline 13}{c +}{hline 18}
         gmf {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
     FHScore {c |} {res} -0.7613   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}. pwcorr gmf FHStatus if year>1996 & year<2001, sig

             {txt}{c |}      gmf FHStatus
{hline 13}{c +}{hline 18}
         gmf {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
    FHStatus {c |} {res}  0.8289   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}. pwcorr gmf FHScore if year>1996 & year<2001, sig

             {txt}{c |}      gmf  FHScore
{hline 13}{c +}{hline 18}
         gmf {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
     FHScore {c |} {res} -0.8570   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}. pwcorr gmf FHStatus if year==2001

             {txt}{c |}      gmf FHStatus
{hline 13}{c +}{hline 18}
         gmf {c |} {res}  1.0000 
    {txt}FHStatus {c |} {res}  0.8635   1.0000 
{txt}
{com}. pwcorr gmf FHScore if year==2001

             {txt}{c |}      gmf  FHScore
{hline 13}{c +}{hline 18}
         gmf {c |} {res}  1.0000 
     {txt}FHScore {c |} {res} -0.8932   1.0000 
{txt}
{com}. pwcorr gmf FHStatus if year>2000 & year<2013, sig

             {txt}{c |}      gmf FHStatus
{hline 13}{c +}{hline 18}
         gmf {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
    FHStatus {c |} {res}  0.9534   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}. pwcorr gmf FHScore if year>2000 & year<2013, sig

             {txt}{c |}      gmf  FHScore
{hline 13}{c +}{hline 18}
         gmf {c |} {res}  1.0000 
             {txt}{c |}
             {c |}
     FHScore {c |} {res} -0.9118   1.0000 
             {txt}{c |}{res}   0.0000
             {txt}{c |}

{com}. pwcorr gmf FHStatus

             {txt}{c |}      gmf FHStatus
{hline 13}{c +}{hline 18}
         gmf {c |} {res}  1.0000 
    {txt}FHStatus {c |} {res}  0.8335   1.0000 
{txt}
{com}. log close 
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/jenifer/Documents/Dropbox/Correlates of Media Freedom 2014 Revision/PSRM_Submission/PSRM R&R/PSRM Round 2 R&R/Replication Files/CorrelatesOfMediaFreedom_Replication.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}30 Aug 2015, 13:13:41
{txt}{.-}
{smcl}
{txt}{sf}{ul off}